Lecture 22: Digital Transmission Fundamentals

Similar documents
EE (082) Chapter IV: Angle Modulation Lecture 21 Dr. Wajih Abu-Al-Saud

Module 5 Carrier Modulation. Version 2 ECE IIT, Kharagpur

Objectives. Presentation Outline. Digital Modulation Lecture 04

RF Link Budget Calculator Manual

6. Amplitude Modulation

Chapter 3 Digital Transmission Fundamentals

Analog Transmission of Digital Data: ASK, FSK, PSK, QAM

Homework: Please number questions as numbered on assignment, and turn in solution pages in order.

Introduction to Analog And Digital Communications

BPSK so that we have a discrete set of RF signals. t)cos(

EKT358 Communication Systems

Chapter 3 Amplitude Modulation. Wireless Information Transmission System Lab. Institute of Communications Engineering National Sun Yat-sen University

Digitally Demodulating Binary Phase Shift Keyed Data Signals

Generating 4-Level and Multitone FSK Using a Quadrature Modulator

Introductory Notions

CHAPTER 3 BER EVALUATION OF IEEE COMPLIANT WSN

EE140 Introduction to Communication Systems Lecture 7

CHAPTER-8 Spread Spectrum Modulation Introduction: Problem of radio transmission Solution Firstly Secondly

Date: August 23,999 Dist'n: T1E1.4

A 24 GHz Band FM-CW Radar System for Detecting Closed Multiple Targets with Small Displacement

EFFICIENT IIR NOTCH FILTER DESIGN VIA MULTIRATE FILTERING TARGETED AT HARMONIC DISTURBANCE REJECTION

Design and Performance of a 24 GHz Band FM-CW Radar System and Its Application

TRANSISTORS: DYNAMIC CIRCUITS. Introduction

Analog Communications

TELE3013 Mid-session QUIZ 1

DSP First Lab 05: FM Synthesis for Musical Instruments - Bells and Clarinets

Modulation Technique:

Copyright Blind Selected Mapping Techniques for Space-Time Block Coded Filtered Single-Carrier Signals

An Acquisition Method Using a Code-Orthogonalizing Filter in UWB-IR Multiple Access

Parameters of the radio channels that affect digital signal transmissions Propagation Environment Attenuation Index, γ

Prediction Method for Channel Quality Indicator in LEO mobile Satellite Communications

Multiplication/Modulation Property For Continuous-Time.

Fully Joint Diversity Combining, Adaptive Modulation, and Power Control

Second Edition Simon Haykin, Michael Moher

Turbo-coded Multi-alphabet Binary CPM for Concatenated Continuous Phase Modulation

A Quadrature Downconversion Autocorrelation Receiver Architecture for UWB

A Study on The Performance of Multiple-beam Antenna Satellite Receiving System Dezhi Li, Bo Zeng, Qun Wu*

and division (stretch).

Effect of Pulse Shaping on Autocorrelation Function of Barker and Frank Phase Codes

Complete optical isolation created by indirect interband photonic transitions

Investigate index notation and represent whole numbers as products of powers of prime numbers (ACMNA149) a) 36 b) 100 c) 196 d) 441

Co-Siting Criteria for Wind Turbine Generators and Transmitter Antennas

ELG3175 Introduction to Communication Systems. Conventional AM

Linear analysis limitations

Coherent Detection Method with Compensation at Transmitter in Time Division Duplex System

Detecting Moving Targets in SAR Via Keystoning and Phase Interferometry

Notes on Dielectric Characterization in Waveguide

Development of FM-CW Radar System for Detecting Closed Multiple Targets and Its Application in Actual Scenes

Multilevel PWM Waveform Decomposition and Phase-Shifted Carrier Technique

AFRL-RY-WP-TP

Considerations and Challenges in Real Time Locating Systems Design

Comparison of OFDM Radar and Chirp Sequence Radar

Layered Space-Time Codes for Wireless Communications Using Multiple Transmit Antennas

ANALYSIS OF THE IONOSPHERIC INFLUENCE ON SIGNAL PROPAGATION AND TRACKING OF BINARY OFFSET CARRIER (BOC) SIGNALS FOR GALILEO AND GPS

REET Energy Conversion. 1 Electric Power System. Electric Power Systems

Micro-Piezoelectric Head Technology of Color Inkjet Printer

Limitations and Capabilities of the Slanted Spectrogram Analysis Tool for SAR-Based Detection of Multiple Vibrating Targets

Enhance Your Signal Processing Toolbox with Complex Notation

Count-loss mechanism of self-quenching streamer (SQS) tubes

Key-Words: - Software defined radio, Walsh Hadamard codes, Lattice filter, Matched filter, Autoregressive model, Gauss-Markov process.

TELE4653 Lecture 5: Phase Shift Keying

Capacitor Voltage Control in a Cascaded Multilevel Inverter as a Static Var Generator

Assignment-III and Its Solution

Characterization of the dielectric properties of various fiberglass/epoxy composite layups

Angle Modulation Frequency Modulation

A Fundamental Limit on Antenna Gain for Electrically Small Antennas

Ultra-Directional Microphones: Part 4. James A. Moorer. Sonic Solutions

TELE4653 Lecture 6: Frequency Shift Keying

Horn Antenna Generating Electromagnetic Field with Orbital Angular Momentum

Notes on Experiment #11. You should be able to finish this experiment very quickly.

ACTIVE VIBRATION CONTROL OF AN INTERMEDIATE MASS: VIBRATION ISOLATION IN SHIPS

Application of TEM horn antenna in radiating NEMP simulator

A compact dual-band bandpass filter using triple-mode stub-loaded resonators and outer-folding open-loop resonators

Calculating the input-output dynamic characteristics. Analyzing dynamic systems and designing controllers.

Whole Numbers and Introduction to Algebra

Lecture 12: Modulation Techniques for Mobile Radio. Amplitude Modulation (Full AM or Double Sideband with Carrier)

Outline : Wireless Networks Lecture 6: Physical Layer Coding and Modulation 1. Basic Modulation Techniques. From Signals to Packets.

A 24 GHz FM-CW Radar System for Detecting Closed Multiple Targets and Its Applications in Actual Scenes

EXPLORATIONS IN COMMUNICATION SYSTEMS USING A VIRTUAL TOOLKIT

Communications. AM, DSBSC, VSB, SSB, FM, PM, Narrow band FM, PLL Demodulators, and FLL Loops Sampling Systems

Double and single side-band suppressed-carrier optical modulator implemented at 1320 nm using LiNbO 3 crystals and bulk optics.

8A.6 SINGLE-SCAN RADAR REFRACTIVITY RETRIEVAL: THEORY AND SIMULATIONS

Basic Encoding Techniques

A Zero-Error Source Coding Solution to the Russian Cards Problem

Average Current Mode Interleaved PFC Control

Error Analysis of Sound Source Localization System for Small Microphone Based on Time Delay Estimation Shang-Yue ZHANG

Signal Characteristics

Ultrasound Notes 4: Doppler

Helicon Resonator based Strong Magnetic Field Sensor

The UK Linguistics Olympiad 2017

ELEC 350 Communications Theory and Systems: I. Analog Signal Transmission and Reception. ELEC 350 Fall

Dispersion and Dispersion Slope Compensation of an Optical Delay Line Filter (DLF) based on Mach-Zehnder Interferometers

AMPLITUDE MODULATION AND DEMODULATION

Nested Codes with Multiple Interpretations

Communication Systems Lecture 7. Dong In Kim School of Info/Comm Engineering Sungkyunkwan University

Electro-acoustic transducers with cellular polymer electrets

EE3723 : Digital Communications

Figure 4.11: Double conversion FM receiver

CS 1110: Introduction to Computing Using Python Recursion

Interference mitigation by distributed beam forming optimization

Transcription:

EE 400: Communiation Networks (0) Ref: A. Leon Garia and I. Widjaja, Communiation Networks, 2 nd Ed. MGraw Hill, 2006 Latest update of this leture was on 30 200 Leture 22: Digital Transmission Fundamentals Using Geometri Representation of Digital Modulations Now, that we learned the basis of representing digital pulses in geometri form (in a Cartesian spae), what an we do with this representation? This representation an be used for deteting whih of the original pulses did the transmitter most likely transmit. Choosing a partiular original pulse as the one that was transmitted in a partiular pulse period is done by:. Mapping eah of the original pulses into the Cartesian spae (this produes what we all a onstellation) 2. Mapping the reeived pulse to the Cartesian spae in whih the original pulses are mapped. 3. Computing the distane between the point representing the reeived pulse and all other points representing the original pulses 4. eleting the original pulse with the shortest distane to the reeived pulse as the pulse that was most likely transmitted. Constellations of ome Digital Modulations everal types of digital modulations exist. The three basi types of digital modulations are named:. Amplitude hift Keying (AK) 2. Phase hift Keying (PK) 3. Frequeny hift Keying (FK) (Will not be disussed here) Next we desribe several of these modulations and shown their time domain pulses and their onstellation. Amplitude hift Keying (AK) Binary Amplitude hift Keying (BAK) In AK, the different pulses all have the same phase but different amplitudes. In the binary amplitude shift keying (BAK) modulation tehnique we transmit one of two pulses for eah bit: ) for logi 0, we transmit nothing ( s 0 () t = 0 for 0 t T )

EE 400: Communiation Networks (0) Ref: A. Leon Garia and I. Widjaja, Communiation Networks, 2 nd Ed. MGraw Hill, 2006 Latest update of this leture was on 30 200 Leture 22: Digital Transmission Fundamentals 2) for logi, we transmit a modulated pulse with magnitude A s () t = A os2π f t for 0 t T ) ( ( ) ine all the pulses have the same phase (you an think of the first signal as ( π ) s0 () t = 0os2 f t for 0 t T ), the onstellation of this modulation tehnique (the representation of the pulses of the modulation algorithm) beomes A Example: A BAK algorithm uses the following pulses to transmit binary data:. s 0 () t = 0 for 0 t (Logi 0 ) 2. ( π ) s ( t) = 5 os 2 f t for 0 t (Logi ) Determine whih bit is the most likely one that was transmitted if the reeived pulse is a. ( π ) rt ( ) = 5 os 2 ft for 0 t To solve this, sketh the onstellation of the modulation algorithm and sketh the reeived pulse on the figure showing the onstellation. 2

EE 400: Communiation Networks (0) Ref: A. Leon Garia and I. Widjaja, Communiation Networks, 2 nd Ed. MGraw Hill, 2006 Latest update of this leture was on 30 200 Leture 22: Digital Transmission Fundamentals Now, it is simple. The dot in the onstellation of the modulation method that is losest to dot that orresponds to the reeived pulse is the most likely pulse that was transmitted. Therefore, a logi was most likely transmitted. In this example, atually the reeived pulse was exatly equal to one of the pulses of the modulation so it would have been very logial to assume that that pulse was the one that was transmitted from the beginning but this method is a systemi method for determining it. b. ( π ) rt () = 4os2 ft for 0 t Repeating the same proess above, we see that reeived pulse is represented by a dot as shown in the following figure. It is also lear here that most likely s () t was transmitted (but it got attenuated a little). o a logi would be onsidered to be the bit that was transmitted. 3

EE 400: Communiation Networks (0) Ref: A. Leon Garia and I. Widjaja, Communiation Networks, 2 nd Ed. MGraw Hill, 2006 Latest update of this leture was on 30 200 Leture 22: Digital Transmission Fundamentals. ( π ) rt () = 5sin 2 ft for 0 t Now, this one is a little triky. Your first instint may tell you that s () t was transmitted but it got delayed a little so that the osine pulse beame a sine pulse. But this may not be true. In this example, it is lear that phase of the reeived signal rt () is not the same phase of the signal s () t. In fat, they are 90 out of phase, so the onstellation and the reeived pulse would be as shown in the following figure. Although the reeived signal is far away from both pulses of the modulation algorithm, it is atually loser to the pulse of logi 0, whih is s () 0 t, whih means that a logi 0 was most likely transmitted. d. ( π ) rt () = 5os2 ft+ 60 for 0 t As an exerise, verify that this onfiguration gives the following: 4

EE 400: Communiation Networks (0) Ref: A. Leon Garia and I. Widjaja, Communiation Networks, 2 nd Ed. MGraw Hill, 2006 Latest update of this leture was on 30 200 Leture 22: Digital Transmission Fundamentals In this ase, the reeived pulse has exatly the same distane from both onstellation points. Here, you may flip a oin and pik one of the pulses to be the one transmitted. You would have a probability of being right equal to 50%. M-ary Amplitude hift Keying (M-ary AK) In this digital modulation tehnique, we transmit one of M pulses, where M is a power of two number suh that M = 2 n. The quantity n here is equal to the number of bits that are arried by eah transmitted pulse. To determine whih pulse to transmit in eah ase, we will have to divide the sequene of information bits into groups of n onseutive bits. The ombination of bits will be one of M = 2 n possible ombinations that will determine the pulse to be transmitted for these n bits. o, in this modulation we will transmit one of the following pulses: ) for bit sequene 00..00, transmit s () 0 for 0 00 00 t = t T 2) for bit sequene 00..0, transmit 00 0 ( π ) 3) for bit sequene 00..0, transmit 00 0 ( π ) 4) for bit sequene 00.., transmit ( π ) s () t = A os2 f t for 0 t T s () t = 2A os2 f t for 0 t T s () t = 3A os2 f t for 0 t T 00 : : M) for bit sequene.., transmit ( ) ( π ) s ( t) = M A os 2 f t for 0 t T 5

EE 400: Communiation Networks (0) Ref: A. Leon Garia and I. Widjaja, Communiation Networks, 2 nd Ed. MGraw Hill, 2006 Latest update of this leture was on 30 200 Leture 22: Digital Transmission Fundamentals ine all pulses of this modulation tehnique have the same phase, the representation of all pulses in the onstellation fall on a straight line. The onstellation of this modulation algorithm is shown below. Clearly in this ase, the power required for transmitting different pulses is different and the average power of transmission an be obtained easily by averaging all powers assuming that different bit sequenes have equal probabilities. 6