# DIRECTION OF ARRIVAL ESTIMATION IN WIRELESS MOBILE COMMUNICATIONS USING MINIMUM VERIANCE DISTORSIONLESS RESPONSE

Size: px
Start display at page:

Download "DIRECTION OF ARRIVAL ESTIMATION IN WIRELESS MOBILE COMMUNICATIONS USING MINIMUM VERIANCE DISTORSIONLESS RESPONSE"

## Transcription

2 Array Boresight Wave front Far field signal source (wavelength = λ) θ d dsin θ θ 2 3 N d w w 2 w 3 w N Σ Patternforming Network Array Output Figure : A plane wave incident on a uniform linear array of N equi-spaced sensors [2]. At a particular instant of time t, t=,2,, K, where K is the total number of snapshots taken, the array output will consist of the signal plus noise components. The signal vector x( can be defined as [3]: M () x( = a θ s t 2 m= ( ) ( ) m where s( is an M vector of source waveforms, and for a particular source at direction θ from the array boresight; a(θ) is an N vector referred to as the array response to that source or array steering vector for that direction. It is given by: jφ j ( ) ( N ) φ T a θ = [ e... e ] (2) where T is the transposition operator, and φ represents the electrical phase shift from element to element along the array. This can be defined by: φ = ( 2π / λ) d cosθ (3) where d is the element spacing and λ is the wavelength of the received signal. The signal vector x( of size N can be written as: x( = A s( (4) where A=[a(θ ) a(θ M )] is an N M matrix of steering vectors. The array output consists of the signal plus noise components, and it can be defined as: u ( = x( + w( (5) where x( and w( are assumed to be uncorrelated and w( is modelled as temporally white and zero-mean complex Gaussian process. Equation 5 can be written in matrix form of size N K as: U = A S + W (6) where S=[s() s(k)] is an M K matrix of source waveforms and W=[w() w(k)] is an N K matrix of sensor noise. The spatial correlation matrix R of the observed signal vector u( can be defined as: R = E[ u( u( ] (7) where E[ ] and are the expectation and conjugate transpose operators, respectively. Substituting (5) into (7), the spatial correlation matrix R can now be expressed as: R = E[ A s( s( A ] + E[ w( w( ] (8) For this signal model, the correlation matrix R will have M signal eigenvalues, and N-M noise eigenvalues. Let E s be the matrix constructed of the corresponding M signal eigenvectors E s =[e e 2 e M ], and E n be the matrix containing the remaining N-M noise eigenvectors E n =[e M+ e M+2 e N ]. The peaks in the MVDR angular spectrum occur whenever the steering vector E(φ) is m

3 orthogonal to the noise subspace.this technique minimizes the contribution of the undesired interferences by minimizing the output power while maintaining the gain along the look direction to be constant, usually unity. That is, 2 min E[ y( θ ) ] = minw R uuw, w A( θ0) = (9) Using Lagrange multiplier, the weight vector that solves equation () can be shown to be: R A( θ ) (0) uu w = A ( θ ) R uu A( θ ) Now the output power of the array as a function of the DOA estimation, using MVDR beamforming method [4], is given by MVDR spatial spectrum as, () P MVDR ( θ ) = A ( θ ) R A( θ ) The angles of arrival are estimated by detecting the peaks in this angular spectrum. 3. GRAPICAL USER INTERFACE The MVDR algorithm has been implemented using MATLAB version 6.5. A GUI has also been built to ease the simulation. A layout of the GUI is depicted in Figure 2. The user can input the signal parameters including the number of snapshots K, the number of mobile users M, and their angle(s) of arrival θ i. This information is used to generate a realistic signal model. As for the sensor array, the user may input the number of array elements N and their spacing d. Default values for these parameters can be retrieved at any time by pressing the Default button. The simulation can be started by clicking on the Run button. This will produce a plot of the MVDR angular spectrum. This plot can be saved to a file by pressing the Save button. Alternatively, the plot may be sent to a printer by pressing the Print button. uu Figure 2: Layout of graphical user interface. 3

4 4. PERFORMANCE STUDY To demonstrate the versatility and accuracy of the developed tool, it is used to study the effect of changing a number of parameters related to the signal environment as well as the sensor array. 4. Number of Incident Signals from Mobile Users Figure 3 shows the MVDR angular spectrum generated due to signals arriving from M= user and M=7 users. When there is only one mobile user (M=) is present in the vicinity of the base station, the MVDR algorithm performs better since it produces an angular spectrum with a sharp peak and a lower noise floor. The performance of the algorithm degrades when there are many mobile users because the spatial correlation between the incoming signals makes it difficult for the algorithm to resolve them successfully. Figure 3: Effect of number of mobile users M on MVDR angular spectrum. 4.2 Angular Separation of Incident Signals from Mobile Users When the mobile users are close to each other, there will be a strong correlation between the signals. In this case the MVDR algorithm finds it difficult to resolve the users. This is illustrated in Figure 4(a) for 3 adjacent users. owever, the performance improves significantly as the users move away from each other, as shown in Figure 4(b) for which the MVDR angular spectrum has sharper peaks and lower noise floor. (a) Figure 4: Effect of angular separation of mobile users on MVDR spectrum: (a) adjacent users, and (b) separated users. (b) 4

5 4.3 Number of Elements in the Sensor Array Figures 5(a) and 5(b) show the MVDR angular spectrum using an eight-element array (N=8) and three-element array (N=3), respectively. It is evident that using more elements improves the resolution of the algorithm in detecting the incoming signals. This is achieved, however, at the expense of computational efficiency and hardware complexity of the sensor array. (a) (b) Figure 5: Effect of number of array elements N on MVDR spectrum: (a) N=8elements, and (b) N=3 elements. 4.4 Element Spacing of the Sensor Array Figures 6(a) and 6(b) shows the MVDR spectrum for an element spacing of d=0.25λ and d=0.5λ, respectively. When the elements of the sensor array are placed too close to each other, mutual coupling effects dominate resulting in inaccuracies in the estimated angles of arrival, as shown in Figure 6(a) for which d=0.25λ. Mutual coupling effects for closely spaced elements must, therefore, be taken into account when designing the sensor array. To overcome this problem, the spacing between the elements of the sensor array must be increased resulting in a better resolution of the estimated peaks, as shown in Figure 6(b) for which d=0.5λ. Figure 6: Effect of element spacing d on MVDR angular spectrum: (a) d= 0.25λ, and (b) d=0.5λ. 5

6 CONCLUSION A versatile simulation tool that implements the MVDR algorithm for DOA estimation was developed together with a user-friendly GUI. A number of numerical experiments were conducted to investigate the effect of various parameters on the performance of the MVDR algorithm and its ability to resolve incoming signals accurately and efficiently. The developed simulation tool can be used to improve and accelerate the design of wireless networks. It can also be used for computer-aided learning of modern communication systems utilizing adaptive antenna arrays. REFERENCES [] L.C. Godara, "Application of Antenna Arrays to Mobile Communications, Part II: Beamforming and Direction-of-Arrival Considerations," Proceedings of IEEE, vol. 85, no. 8, pp [2] K. Al-Midfa, Investigation of Direction-of-Arrival Algorithms. Ph.D. Thesis, University of Bristol, UK, [3] J. Liberti and T. Rappaport, Smart Antennas for Wireless Communications. Prentice all, 999. [4] S. aykin, Adaptive Filter Theory. Prentice-all, 4 th Edition,

### Performance Analysis of MUSIC and LMS Algorithms for Smart Antenna Systems

nternational Journal of Electronics Engineering, 2 (2), 200, pp. 27 275 Performance Analysis of USC and LS Algorithms for Smart Antenna Systems d. Bakhar, Vani R.. and P.V. unagund 2 Department of E and

### Performance Analysis of MUSIC and MVDR DOA Estimation Algorithm

Volume-8, Issue-2, April 2018 International Journal of Engineering and Management Research Page Number: 50-55 Performance Analysis of MUSIC and MVDR DOA Estimation Algorithm Bhupenmewada 1, Prof. Kamal

### Index Terms Uniform Linear Array (ULA), Direction of Arrival (DOA), Multiple User Signal Classification (MUSIC), Least Mean Square (LMS).

Design and Simulation of Smart Antenna Array Using Adaptive Beam forming Method R. Evangilin Beulah, N.Aneera Vigneshwari M.E., Department of ECE, Francis Xavier Engineering College, Tamilnadu (India)

### Performance Evaluation of Capon and Caponlike Algorithm for Direction of Arrival Estimation

Performance Evaluation of Capon and Caponlike Algorithm for Direction of Arrival Estimation M H Bhede SCOE, Pune, D G Ganage SCOE, Pune, Maharashtra, India S A Wagh SITS, Narhe, Pune, India Abstract: Wireless

### DISPLACED SENSOR ARRAY FOR IMPROVED SIGNAL DETECTION UNDER GRAZING INCIDENCE CONDITIONS

Progress In Electromagnetics Research, PIER 79, 427 441, 2008 DISPLACED SENSOR ARRAY FOR IMPROVED SIGNAL DETECTION UNDER GRAZING INCIDENCE CONDITIONS R. M. Shubair and R. S. Nuaimi Communication Engineering

### Approaches for Angle of Arrival Estimation. Wenguang Mao

Approaches for Angle of Arrival Estimation Wenguang Mao Angle of Arrival (AoA) Definition: the elevation and azimuth angle of incoming signals Also called direction of arrival (DoA) AoA Estimation Applications:

### Adaptive Beamforming Applied for Signals Estimated with MUSIC Algorithm

Buletinul Ştiinţific al Universităţii "Politehnica" din Timişoara Seria ELECTRONICĂ şi TELECOMUNICAŢII TRANSACTIONS on ELECTRONICS and COMMUNICATIONS Tom 57(71), Fascicola 2, 2012 Adaptive Beamforming

### ADAPTIVE ANTENNAS. TYPES OF BEAMFORMING

ADAPTIVE ANTENNAS TYPES OF BEAMFORMING 1 1- Outlines This chapter will introduce : Essential terminologies for beamforming; BF Demonstrating the function of the complex weights and how the phase and amplitude

### Performance Study of A Non-Blind Algorithm for Smart Antenna System

International Journal of Electronics and Communication Engineering. ISSN 0974-2166 Volume 5, Number 4 (2012), pp. 447-455 International Research Publication House http://www.irphouse.com Performance Study

### Eigenvalues and Eigenvectors in Array Antennas. Optimization of Array Antennas for High Performance. Self-introduction

Short Course @ISAP2010 in MACAO Eigenvalues and Eigenvectors in Array Antennas Optimization of Array Antennas for High Performance Nobuyoshi Kikuma Nagoya Institute of Technology, Japan 1 Self-introduction

### Antennas and Propagation. Chapter 5c: Array Signal Processing and Parametric Estimation Techniques

Antennas and Propagation : Array Signal Processing and Parametric Estimation Techniques Introduction Time-domain Signal Processing Fourier spectral analysis Identify important frequency-content of signal

### ONE of the most common and robust beamforming algorithms

TECHNICAL NOTE 1 Beamforming algorithms - beamformers Jørgen Grythe, Norsonic AS, Oslo, Norway Abstract Beamforming is the name given to a wide variety of array processing algorithms that focus or steer

### Direction of Arrival Algorithms for Mobile User Detection

IJSRD ational Conference on Advances in Computing and Communications October 2016 Direction of Arrival Algorithms for Mobile User Detection Veerendra 1 Md. Bakhar 2 Kishan Singh 3 1,2,3 Department of lectronics

### A novel ULA-based geometry for improving AOA estimation

Shirvani-Moghaddam and Akbari EURASIP Journal on Advances in Signal Processing 11, 11:39 http://asp.eurasipjournals.com/content/11/1/39 RESEARCH Open Access A novel -based geometry for improving AOA estimation

### METIS Second Training & Seminar. Smart antenna: Source localization and beamforming

METIS Second Training & Seminar Smart antenna: Source localization and beamforming Faculté des sciences de Tunis Unité de traitement et analyse des systèmes haute fréquences Ali Gharsallah Email:ali.gharsallah@fst.rnu.tn

### STAP approach for DOA estimation using microphone arrays

STAP approach for DOA estimation using microphone arrays Vera Behar a, Christo Kabakchiev b, Vladimir Kyovtorov c a Institute for Parallel Processing (IPP) Bulgarian Academy of Sciences (BAS), behar@bas.bg;

### Direction of Arrival Estimation in Smart Antenna for Marine Communication. Deepthy M Vijayan, Sreedevi K Menon /16/\$31.

International Conference on Communication and Signal Processing, April 6-8, 2016, India Direction of Arrival Estimation in Smart Antenna for Marine Communication Deepthy M Vijayan, Sreedevi K Menon Abstract

### AN ANALYSIS OF LMS AND MVDR ON BEAMFORMING APPLICATIONS

AN ANALYSIS OF LMS AND MVDR ON BEAMFORMING APPLICATIONS EE635 : Digital Signal Processing II, Spring 2000 University of New Haven Instructor: Dr. Alain Bathelemy Students : Raheela AMIR,Wiwat THARATEERAPARB

### REALISTIC ANTENNA ELEMENTS AND DIFFERENT ARRAY TOPOLOGIES IN THE DOWNLINK OF UMTS-FDD NETWORKS

REALISTIC ANTENNA ELEMENTS AND DIFFERENT ARRAY TOPOLOGIES IN THE DOWNLINK OF UMTS-FDD NETWORKS S. Bieder, L. Häring, A. Czylwik, P. Paunov Department of Communication Systems University of Duisburg-Essen

### Bluetooth Angle Estimation for Real-Time Locationing

Whitepaper Bluetooth Angle Estimation for Real-Time Locationing By Sauli Lehtimäki Senior Software Engineer, Silicon Labs silabs.com Smart. Connected. Energy-Friendly. Bluetooth Angle Estimation for Real-

Advances in Radio Science (23) 1: 149 153 c Copernicus GmbH 23 Advances in Radio Science Downlink beamforming concepts in UTRA FDD M. Schacht 1, A. Dekorsy 1, and P. Jung 2 1 Lucent Technologies, Thurn-und-Taxis-Strasse

### Performance Analysis of MUSIC and MVDR DOA Estimation Algorithm

Volume-5, Issue-5, October-205 International Journal of Engineering and Management Research Page Number: 273-279 Performance Analysis of MUSIC and MVDR DOA Estimation Algorithm Jyotsna Sagar, Prof. Kamal

### K.NARSING RAO(08R31A0425) DEPT OF ELECTRONICS & COMMUNICATION ENGINEERING (NOVH).

Smart Antenna K.NARSING RAO(08R31A0425) DEPT OF ELECTRONICS & COMMUNICATION ENGINEERING (NOVH). ABSTRACT:- One of the most rapidly developing areas of communications is Smart Antenna systems. This paper

### International Journal of Scientific & Engineering Research, Volume 6, Issue 7, July ISSN

International Journal of Scientific & Engineering Research, Volume 6, Issue 7, July-215 594 Study of DOA Estimation Using Music Algorithm Bindu Sharma 1, Ghanshyam Singh 2, Indranil Sarkar 3 Abstract Wireless

### An improved direction of arrival (DOA) estimation algorithm and beam formation algorithm for smart antenna system in multipath environment

ISSN:2348-2079 Volume-6 Issue-1 International Journal of Intellectual Advancements and Research in Engineering Computations An improved direction of arrival (DOA) estimation algorithm and beam formation

### Adaptive Beamforming Approach with Robust Interference Suppression

International Journal of Current Engineering and Technology E-ISSN 2277 46, P-ISSN 2347 56 25 INPRESSCO, All Rights Reserved Available at http://inpressco.com/category/ijcet Research Article Adaptive Beamforming

### Suitability of Conventional 1D Noise Subspace Algorithms for DOA Estimation using Large Arrays at Millimeter Wave Band

Suitability of Conventional D oise Subspace Algorithms for DOA Estimation using Large Arrays at Millimeter Wave Band Ashish atwari Assistant rofessor, School of Electronics Engineering, VIT University,

### S. Ejaz and M. A. Shafiq Faculty of Electronic Engineering Ghulam Ishaq Khan Institute of Engineering Sciences and Technology Topi, N.W.F.

Progress In Electromagnetics Research C, Vol. 14, 11 21, 2010 COMPARISON OF SPECTRAL AND SUBSPACE ALGORITHMS FOR FM SOURCE ESTIMATION S. Ejaz and M. A. Shafiq Faculty of Electronic Engineering Ghulam Ishaq

### Adaptive Array Beamforming using LMS Algorithm

Adaptive Array Beamforming using LMS Algorithm S.C.Upadhyay ME (Digital System) MIT, Pune P. M. Mainkar Associate Professor MIT, Pune Abstract Array processing involves manipulation of signals induced

### 6 Uplink is from the mobile to the base station.

It is well known that by using the directional properties of adaptive arrays, the interference from multiple users operating on the same channel as the desired user in a time division multiple access (TDMA)

### The Feasibility of Conventional Beamforming Algorithm Based on Resolution for Internet of Things in Millimeter Wave Environment

4th International Conference on Information Systems and Computing Technology (ISCT 26) The Feasibility of Conventional Beamforming Algorithm Based on Resolution for Internet of Things in Millimeter Wave

### Beamforming in Interference Networks for Uniform Linear Arrays

Beamforming in Interference Networks for Uniform Linear Arrays Rami Mochaourab and Eduard Jorswieck Communications Theory, Communications Laboratory Dresden University of Technology, Dresden, Germany e-mail:

### Study the Behavioral Change in Adaptive Beamforming of Smart Antenna Array Using LMS and RLS Algorithms

Study the Behavioral Change in Adaptive Beamforming of Smart Antenna Array Using LMS and RLS Algorithms Somnath Patra *1, Nisha Nandni #2, Abhishek Kumar Pandey #3,Sujeet Kumar #4 *1, #2, 3, 4 Department

### MUSIC for the User Receiver of the GEO Satellite Communication System

2011 International Conference on elecommunication echnology and Applications Proc.of CSI vol.5 (2011) (2011) IACSI Press, Singapore MUSIC for the User Receiver of the GEO Satellite Communication System

### Comparison of Beamforming Techniques for W-CDMA Communication Systems

752 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 52, NO. 4, JULY 2003 Comparison of Beamforming Techniques for W-CDMA Communication Systems Hsueh-Jyh Li and Ta-Yung Liu Abstract In this paper, different

### Performance improvement in beamforming of Smart Antenna by using LMS algorithm

Performance improvement in beamforming of Smart Antenna by using LMS algorithm B. G. Hogade Jyoti Chougale-Patil Shrikant K.Bodhe Research scholar, Student, ME(ELX), Principal, SVKM S NMIMS,. Terna Engineering

### Antennas and Propagation. Chapter 6b: Path Models Rayleigh, Rician Fading, MIMO

Antennas and Propagation b: Path Models Rayleigh, Rician Fading, MIMO Introduction From last lecture How do we model H p? Discrete path model (physical, plane waves) Random matrix models (forget H p and

### Smart antenna technology

Smart antenna technology In mobile communication systems, capacity and performance are usually limited by two major impairments. They are multipath and co-channel interference [5]. Multipath is a condition

### Smart antenna for doa using music and esprit

IOSR Journal of Electronics and Communication Engineering (IOSRJECE) ISSN : 2278-2834 Volume 1, Issue 1 (May-June 2012), PP 12-17 Smart antenna for doa using music and esprit SURAYA MUBEEN 1, DR.A.M.PRASAD

### Smart Antenna ABSTRACT

Smart Antenna ABSTRACT One of the most rapidly developing areas of communications is Smart Antenna systems. This paper deals with the principle and working of smart antennas and the elegance of their applications

### I. INTRODUCTION. Keywords: Smart Antenna, Adaptive Algorithm, Beam forming, Signal Nulling, Antenna Array.

Performance Analysis of Constant Modulus Algorithm (CMA) Blind Adaptive Algorithm for Smart Antennas in a W-CDMA Network Nwalozie G.C, Okorogu V.N, Umeh K.C, and Oraetue C.D Abstract- Smart Antenna is

### Adaptive Beamforming. Chapter Signal Steering Vectors

Chapter 13 Adaptive Beamforming We have already considered deterministic beamformers for such applications as pencil beam arrays and arrays with controlled sidelobes. Beamformers can also be developed

### High Resolution Techniques for Direction of Arrival Estimation of Ultrasonic Waves

American Journal of Signal Processing 214, 4(2): 49-9 DOI: 1.923/j.ajsp.21442.2 High Resolution Techniques for Direction of Arrival Estimation of Ultrasonic Waves Mujahid F. Al-Azzo, Khalaf I. Al-Sabaawi

### INTERFERENCE REJECTION OF ADAPTIVE ARRAY ANTENNAS BY USING LMS AND SMI ALGORITHMS

INTERFERENCE REJECTION OF ADAPTIVE ARRAY ANTENNAS BY USING LMS AND SMI ALGORITHMS Kerim Guney Bilal Babayigit Ali Akdagli e-mail: kguney@erciyes.edu.tr e-mail: bilalb@erciyes.edu.tr e-mail: akdagli@erciyes.edu.tr

### Analysis of Direction of Arrival Estimations Algorithms for Smart Antenna

International Journal of Engineering Science Invention ISSN (Online): 39 6734, ISSN (Print): 39 676 Volume 3 Issue 6 June 04 PP.38-45 Analysis of Direction of Arrival Estimations Algorithms for Smart Antenna

### Avoiding Self Nulling by Using Linear Constraint Minimum Variance Beamforming in Smart Antenna

Research Journal of Applied Sciences, Engineering and Technology 5(12): 3435-3443, 213 ISSN: 24-7459; e-issn: 24-7467 Maxwell Scientific Organization, 213 Submitted: November 9, 212 Accepted: December

### Optimum Beamforming. ECE 754 Supplemental Notes Kathleen E. Wage. March 31, Background Beampatterns for optimal processors Array gain

Optimum Beamforming ECE 754 Supplemental Notes Kathleen E. Wage March 31, 29 ECE 754 Supplemental Notes: Optimum Beamforming 1/39 Signal and noise models Models Beamformers For this set of notes, we assume

### A Complete MIMO System Built on a Single RF Communication Ends

PIERS ONLINE, VOL. 6, NO. 6, 2010 559 A Complete MIMO System Built on a Single RF Communication Ends Vlasis Barousis, Athanasios G. Kanatas, and George Efthymoglou University of Piraeus, Greece Abstract

### arxiv: v1 [cs.sd] 4 Dec 2018

LOCALIZATION AND TRACKING OF AN ACOUSTIC SOURCE USING A DIAGONAL UNLOADING BEAMFORMING AND A KALMAN FILTER Daniele Salvati, Carlo Drioli, Gian Luca Foresti Department of Mathematics, Computer Science and

### A Review on Beamforming Techniques in Wireless Communication

A Review on Beamforming Techniques in Wireless Communication Hemant Kumar Vijayvergia 1, Garima Saini 2 1Assistant Professor, ECE, Govt. Mahila Engineering College Ajmer, Rajasthan, India 2Assistant Professor,

### Design and Test of FPGA-based Direction-of-Arrival Algorithms for Adaptive Array Antennas

2011 IEEE Aerospace Conference Big Sky, MT, March 7, 2011 Session# 3.01 Phased Array Antennas Systems and Beam Forming Technologies Pres #: 3.0102, Paper ID: 1198 Rm: Elbow 3, Time: 8:55am Design and Test

### Adaptive selective sidelobe canceller beamformer with applications in radio astronomy

Adaptive selective sidelobe canceller beamformer with applications in radio astronomy Ronny Levanda and Amir Leshem 1 Abstract arxiv:1008.5066v1 [astro-ph.im] 30 Aug 2010 We propose a new algorithm, for

### MOBILE satellite communication systems using frequency

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, VOL. 45, NO. 11, NOVEMBER 1997 1611 Performance of Radial-Basis Function Networks for Direction of Arrival Estimation with Antenna Arrays Ahmed H. El Zooghby,

### Estimating Discrete Power Angular Spectra in Multiprobe OTA Setups

Downloaded from vbn.aau.dk on: marts 7, 29 Aalborg Universitet Estimating Discrete Power Angular Spectra in Multiprobe OTA Setups Fan, Wei; Nielsen, Jesper Ødum; Pedersen, Gert Frølund Published in: I

### A New Switched-beam Setup for Adaptive Antenna Array Beamforming

A New Switched- Setup for Adaptive Antenna Array Beamforming Shahriar Shirvani Moghaddam* Faculty of Electrical and Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran sh_shirvani@srttu.edu

### Null-steering GPS dual-polarised antenna arrays

Presented at SatNav 2003 The 6 th International Symposium on Satellite Navigation Technology Including Mobile Positioning & Location Services Melbourne, Australia 22 25 July 2003 Null-steering GPS dual-polarised

### Effects of Fading Channels on OFDM

IOSR Journal of Engineering (IOSRJEN) e-issn: 2250-3021, p-issn: 2278-8719, Volume 2, Issue 9 (September 2012), PP 116-121 Effects of Fading Channels on OFDM Ahmed Alshammari, Saleh Albdran, and Dr. Mohammad

### TRANSMITS BEAMFORMING AND RECEIVER DESIGN FOR MIMO RADAR

TRANSMITS BEAMFORMING AND RECEIVER DESIGN FOR MIMO RADAR 1 Nilesh Arun Bhavsar,MTech Student,ECE Department,PES S COE Pune, Maharastra,India 2 Dr.Arati J. Vyavahare, Professor, ECE Department,PES S COE

### Post beam steering techniques as a means to extract horizontal winds from atmospheric radars

Post beam steering techniques as a means to extract horizontal winds from atmospheric radars VN Sureshbabu 1, VK Anandan 1, oshitaka suda 2 1 ISRAC, Indian Space Research Organisation, Bangalore -58, India

### A Study on Various Types of Beamforming Algorithms

IJSTE - International Journal of Science Technology & Engineering Volume 2 Issue 09 March 2016 ISSN (online): 2349-784X A Study on Various Types of Beamforming Algorithms Saiju Lukose Prof. M. Mathurakani

### GNU RADIO BASED DIGITAL BEAMFORMING SYSTEM: BER AND COMPUTATIONAL PERFORMANCE ANALYSIS. Sarankumar Balakrishnan, Lay Teen Ong

GNU RADIO BASED DIGITAL BEAMFORMING SYSTEM: BER AND COMPUTATIONAL PERFORMANCE ANALYSIS Sarankumar Balakrishnan, Lay Teen Ong Temasek Laboratories, National University of Singapore, Singapore ABSTRACT The

### Consideration of Sectors for Direction of Arrival Estimation with Circular Arrays

2010 International ITG Workshop on Smart Antennas (WSA 2010) Consideration of Sectors for Direction of Arrival Estimation with Circular Arrays Holger Degenhardt, Dirk Czepluch, Franz Demmel and Anja Klein

### Speech Enhancement Using Microphone Arrays

Friedrich-Alexander-Universität Erlangen-Nürnberg Lab Course Speech Enhancement Using Microphone Arrays International Audio Laboratories Erlangen Prof. Dr. ir. Emanuël A. P. Habets Friedrich-Alexander

### Direction of Arrival Analysis on a Mobile Platform. Sam Whiting, Dana Sorensen, Todd Moon Utah State University

Direction of Arrival Analysis on a Mobile Platform Sam Whiting, Dana Sorensen, Todd Moon Utah State University Objectives Find a transmitter Be mobile Previous Work Tatu Peltola - 3 RTL dongles https://www.youtube.com/watch?v=8wzb1mgz0ee

### STATISTICAL DISTRIBUTION OF INCIDENT WAVES TO MOBILE ANTENNA IN MICROCELLULAR ENVIRONMENT AT 2.15 GHz

EUROPEAN COOPERATION IN COST259 TD(99) 45 THE FIELD OF SCIENTIFIC AND Wien, April 22 23, 1999 TECHNICAL RESEARCH EURO-COST STATISTICAL DISTRIBUTION OF INCIDENT WAVES TO MOBILE ANTENNA IN MICROCELLULAR

### Multiple Signal Direction of Arrival (DoA) Estimation for a Switched-Beam System Using Neural Networks

PIERS ONLINE, VOL. 3, NO. 8, 27 116 Multiple Signal Direction of Arrival (DoA) Estimation for a Switched-Beam System Using Neural Networks K. A. Gotsis, E. G. Vaitsopoulos, K. Siakavara, and J. N. Sahalos

### SMART ANTENNA ARRAY PATTERNS SYNTHESIS: NULL STEERING AND MULTI-USER BEAMFORMING BY PHASE CONTROL

Progress In Electromagnetics Research, PIER 6, 95 16, 26 SMART ANTENNA ARRAY PATTERNS SYNTHESIS: NULL STEERING AND MULTI-USER BEAMFORMING BY PHASE CONTROL M. Mouhamadou and P. Vaudon IRCOM- UMR CNRS 6615,

### A Novel 3D Beamforming Scheme for LTE-Advanced System

A Novel 3D Beamforming Scheme for LTE-Advanced System Yu-Shin Cheng 1, Chih-Hsuan Chen 2 Wireless Communications Lab, Chunghwa Telecom Co, Ltd No 99, Dianyan Rd, Yangmei City, Taoyuan County 32601, Taiwan

### Keywords: Adaptive Antennas, Beam forming Algorithm, Signal Nulling, Performance Evaluation.

A Simple Comparative Evaluation of Adaptive Beam forming Algorithms G.C Nwalozie, V.N Okorogu, S.S Maduadichie, A. Adenola Abstract- Adaptive Antennas can be used to increase the capacity, the link quality

### Channel Modelling for Beamforming in Cellular Systems

Channel Modelling for Beamforming in Cellular Systems Salman Durrani Department of Engineering, The Australian National University, Canberra. Email: salman.durrani@anu.edu.au DERF June 26 Outline Introduction

### Antenna Array Beamforming using Neural Network

Antenna Array Beamforming using Neural Network Maja Sarevska, and Abdel-Badeeh M. Salem Abstract This paper considers the problem of Null-Steering beamforming using Neural Network (NN) approach for antenna

### Adaptive Systems Homework Assignment 3

Signal Processing and Speech Communication Lab Graz University of Technology Adaptive Systems Homework Assignment 3 The analytical part of your homework (your calculation sheets) as well as the MATLAB

### STUDY OF PHASED ARRAY ANTENNA AND RADAR TECHNOLOGY

42 STUDY OF PHASED ARRAY ANTENNA AND RADAR TECHNOLOGY Muhammad Saleem,M.R Anjum & Noreen Anwer Department of Electronic Engineering, The Islamia University of Bahawalpur, Pakistan ABSTRACT A phased array

### Joint Position-Pitch Decomposition for Multi-Speaker Tracking

Joint Position-Pitch Decomposition for Multi-Speaker Tracking SPSC Laboratory, TU Graz 1 Contents: 1. Microphone Arrays SPSC circular array Beamforming 2. Source Localization Direction of Arrival (DoA)

### Airo Interantional Research Journal September, 2013 Volume II, ISSN:

Airo Interantional Research Journal September, 2013 Volume II, ISSN: 2320-3714 Name of author- Navin Kumar Research scholar Department of Electronics BR Ambedkar Bihar University Muzaffarpur ABSTRACT Direction

### A New Switched-beam Setup for Adaptive Antenna Array Beamforming

A New Switched-beam Setup for Adaptive Antenna Array Beamforming Shahriar Shirvani Moghaddam* Department of Electrical Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran sh_shirvani@srttu.edu

### Neural Networks and Antenna Arrays

Neural Networks and Antenna Arrays MAJA SAREVSKA 1, NIKOS MASTORAKIS 2 1 Istanbul Technical University, Istanbul, TURKEY 2 Hellenic Naval Academy, Athens, GREECE sarevska@itu.edu.tr mastor@wseas.org Abstract:

### PERFORMANCE ANALYSIS OF CELLULAR CDMA IN PRESENCE OF BEAMFORMING AND SOFT HANDOFF

Progress In Electromagnetics Research, PIER 88, 73 89, 2008 PERFORMANCE ANALYSIS OF CELLULAR CDMA IN PRESENCE OF BEAMFORMING AND SOFT HANDOFF S. D. Roy and S. Kundu Department of Electronics & Communication

### Uplink and Downlink Beamforming for Fading Channels. Mats Bengtsson and Björn Ottersten

Uplink and Downlink Beamforming for Fading Channels Mats Bengtsson and Björn Ottersten 999-02-7 In Proceedings of 2nd IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications,

### A Multiple Input - Multiple Output Channel Model for Simulation of TX- and RX-Diversity Wireless Systems

A Multiple Input - Multiple Output Channel Model for Simulation of TX- and RX-Diversity Wireless Systems Matthias Stege, Jens Jelitto, Marcus Bronzel, Gerhard Fettweis Mannesmann Mobilfunk Chair for Mobile

### Joint DOA and Array Manifold Estimation for a MIMO Array Using Two Calibrated Antennas

1 Joint DOA and Array Manifold Estimation for a MIMO Array Using Two Calibrated Antennas Wei Zhang #, Wei Liu, Siliang Wu #, and Ju Wang # # Department of Information and Electronics Beijing Institute

### Beamforming and Transmission Power Optimization

Beamforming and Transmission Power Optimization Reeta Chhatani 1, Alice Cheeran 2 PhD Scholar, Victoria Jubilee Technical Institute, Mumbai, India 1 Professor, Victoria Jubilee Technical Institute, Mumbai,

### Remote Reflector p. Local Scattering around Mobile. Remote Reflector 1. Base Station. θ p

A Stochastic Vector Channel Model - Implementation and Verification Matthias Stege, Jens Jelitto, Nadja Lohse, Marcus Bronzel, Gerhard Fettweis Mobile Communications Systems Chair, Dresden University of

### Random Beamforming in Correlated MISO Channels for Multiuser Systems

Random Beamforming in Correlated MISO Channels for Multiuser Systems Andreas Senst, Peter Schulz-Rittich, Ulrich Krause, Gerd Ascheid, and Heinrich Meyr Institute for Integrated Signal Processing Systems

### Sound Source Localization in a Security System using a Microphone Array

INSTITUTE OF INFORMATION AND COMMUNICATION TECHNOLOGIES BULGARIAN ACADEMY OF SCIENCE Sound Source Localization in a Security System using a Microphone Array V. Behar 1, Chr. Kabakchiev 2, I. Garvanov 3

### ROBUST ADAPTIVE BEAMFORMER USING INTERPO- LATION TECHNIQUE FOR CONFORMAL ANTENNA ARRAY

Progress In Electromagnetics Research B, Vol. 23, 215 228, 2010 ROBUST ADAPTIVE BEAMFORMER USING INTERPO- LATION TECHNIQUE FOR CONFORMAL ANTENNA ARRAY P. Yang, F. Yang, and Z. P. Nie School of Electronic

### REPORT ITU-R SA.2098

Rep. ITU-R SA.2098 1 REPORT ITU-R SA.2098 Mathematical gain models of large-aperture space research service earth station antennas for compatibility analysis involving a large number of distributed interference

### Performance Analysis of LMS and NLMS Algorithms for a Smart Antenna System

International Journal of Computer Applications (975 8887) Volume 4 No.9, August 21 Performance Analysis of LMS and NLMS Algorithms for a Smart Antenna System M. Yasin Research Scholar Dr. Pervez Akhtar

### A Simulation Research on Linear Beam Forming Transmission

From the SelectedWorks of Innovative Research Publications IRP India Winter December 1, 2014 A Simulation Research on Linear Beam Forming Transmission Innovative Research Publications, IRP India, Innovative

### ASEE-NMWSC Abstract

ASEE-NMWSC2013-0032 MATLAB Simulation Tool for Antenna Array Pattern Development Jon J. Smith and Sima Noghanian University of North Dakota, Department of Electrical Engineering jon.j.smith1980@gmail.com,

### A COMPREHENSIVE PERFORMANCE STUDY OF CIRCULAR AND HEXAGONAL ARRAY GEOMETRIES IN THE LMS ALGORITHM FOR SMART ANTENNA APPLICATIONS

Progress In Electromagnetics Research, PIER 68, 281 296, 2007 A COMPREHENSIVE PERFORMANCE STUDY OF CIRCULAR AND HEXAGONAL ARRAY GEOMETRIES IN THE LMS ALGORITHM FOR SMART ANTENNA APPLICATIONS F. Gozasht

### Abstract. Marío A. Bedoya-Martinez. He joined Fujitsu Europe Telecom R&D Centre (UK), where he has been working on R&D of Second-and

Abstract The adaptive antenna array is one of the advanced techniques which could be implemented in the IMT-2 mobile telecommunications systems to achieve high system capacity. In this paper, an integrated

### This is a repository copy of Robust DOA estimation for a mimo array using two calibrated transmit sensors.

This is a repository copy of Robust DOA estimation for a mimo array using two calibrated transmit sensors. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/76522/ Proceedings

### Propsim C8 MIMO Extension. 4x4 MIMO Radio Channel Emulation

Propsim C8 MIMO Extension 4x4 MIMO Radio Channel Emulation Propsim C8 provides a flexible platform for Multiple Input Multiple Output (MIMO) development and evaluation. With a maximum number of 16 independent

### Impact of Antenna Geometry on Adaptive Switching in MIMO Channels

Impact of Antenna Geometry on Adaptive Switching in MIMO Channels Ramya Bhagavatula, Antonio Forenza, Robert W. Heath Jr. he University of exas at Austin University Station, C0803, Austin, exas, 787-040

### Chapter 4 DOA Estimation Using Adaptive Array Antenna in the 2-GHz Band

Chapter 4 DOA Estimation Using Adaptive Array Antenna in the 2-GHz Band 4.1. Introduction The demands for wireless mobile communication are increasing rapidly, and they have become an indispensable part

### Joint delay and direction of arrivals estimation in mobile communications

SIViP (206) 0:45 54 DOI 0.007/s760-04-0700- ORIGINAL PAPER Joint delay and direction of arrivals estimation in mobile communications Dominic Grenier Bahareh Elahian Alexia Blanchard-Lapierre Received:

### Performance Evaluation of Multiple Antenna Systems

University of Wisconsin Milwaukee UWM Digital Commons Theses and Dissertations December 2013 Performance Evaluation of Multiple Antenna Systems M-Adib El Effendi University of Wisconsin-Milwaukee Follow