Advanced Refractive Effects Prediction System (AREPS)

Similar documents
RF Performance Predictions for Real Time Shipboard Applications

Trident Warrior 2013 Opportunistic VHF and UHF Observations

Ground Based GPS Phase Measurements for Atmospheric Sounding

Propagation Modeling

Durable Aircraft. February 7, 2011

GLOBAL POSITIONING SYSTEM SHIPBORNE REFERENCE SYSTEM

COM DEV AIS Initiative. TEXAS II Meeting September 03, 2008 Ian D Souza

Investigation of a Forward Looking Conformal Broadband Antenna for Airborne Wide Area Surveillance

INTEGRATIVE MIGRATORY BIRD MANAGEMENT ON MILITARY BASES: THE ROLE OF RADAR ORNITHOLOGY

Modeling Antennas on Automobiles in the VHF and UHF Frequency Bands, Comparisons of Predictions and Measurements

SA Joint USN/USMC Spectrum Conference. Gerry Fitzgerald. Organization: G036 Project: 0710V250-A1

Applying Numerical Weather Prediction Data to Enhance Propagation Prediction Capabilities to Improve Radar Performance Prediction

Modeling of Ionospheric Refraction of UHF Radar Signals at High Latitudes

Radar Detection of Marine Mammals

Electromagnetic Propagation

U.S. Army Training and Doctrine Command (TRADOC) Virtual World Project

Measurement of Ocean Spatial Coherence by Spaceborne Synthetic Aperture Radar

Sky Satellites: The Marine Corps Solution to its Over-The-Horizon Communication Problem

UNCLASSIFIED INTRODUCTION TO THE THEME: AIRBORNE ANTI-SUBMARINE WARFARE

ESME Workbench Enhancements

Modeling an HF NVIS Towel-Bar Antenna on a Coast Guard Patrol Boat A Comparison of WIPL-D and the Numerical Electromagnetics Code (NEC)

Range-Depth Tracking of Sounds from a Single-Point Deployment by Exploiting the Deep-Water Sound Speed Minimum

Automatic Payload Deployment System (APDS)

Innovative 3D Visualization of Electro-optic Data for MCM

Robotics and Artificial Intelligence. Rodney Brooks Director, MIT Computer Science and Artificial Intelligence Laboratory CTO, irobot Corp

Environmental Data Collection Using Autonomous Wave Gliders

The Algorithm Theoretical Basis Document for the Atmospheric Delay Correction to GLAS Laser Altimeter Ranges

Lattice Spacing Effect on Scan Loss for Bat-Wing Phased Array Antennas

Southern California 2011 Behavioral Response Study - Marine Mammal Monitoring Support

Underwater Intelligent Sensor Protection System

Loop-Dipole Antenna Modeling using the FEKO code

SPOT 5 / HRS: a key source for navigation database

HIGH TEMPERATURE (250 C) SIC POWER MODULE FOR MILITARY HYBRID ELECTRICAL VEHICLE APPLICATIONS

NPAL Acoustic Noise Field Coherence and Broadband Full Field Processing

Hybrid QR Factorization Algorithm for High Performance Computing Architectures. Peter Vouras Naval Research Laboratory Radar Division

Satellite Observations of Nonlinear Internal Waves and Surface Signatures in the South China Sea

CFDTD Solution For Large Waveguide Slot Arrays

August 9, Attached please find the progress report for ONR Contract N C-0230 for the period of January 20, 2015 to April 19, 2015.

Argus Development and Support

Solar Radar Experiments

THE NATIONAL SHIPBUILDING RESEARCH PROGRAM

Department of Defense Partners in Flight

Investigation of Modulated Laser Techniques for Improved Underwater Imaging

MATLAB Algorithms for Rapid Detection and Embedding of Palindrome and Emordnilap Electronic Watermarks in Simulated Chemical and Biological Image Data

Coherent distributed radar for highresolution

Parametric Approaches for Refractivity-from-Clutter Inversion

VHF/UHF Imagery of Targets, Decoys, and Trees

Effects of Radar Absorbing Material (RAM) on the Radiated Power of Monopoles with Finite Ground Plane

Using Radio Occultation Data for Ionospheric Studies

Strategic Technical Baselines for UK Nuclear Clean-up Programmes. Presented by Brian Ensor Strategy and Engineering Manager NDA

Signal Processing Architectures for Ultra-Wideband Wide-Angle Synthetic Aperture Radar Applications

Remote Sediment Property From Chirp Data Collected During ASIAEX

Analysis of South China Sea Shelf and Basin Acoustic Transmission Data

Characteristics of an Optical Delay Line for Radar Testing

Presentation to TEXAS II

Acoustic Monitoring of Flow Through the Strait of Gibraltar: Data Analysis and Interpretation

Wavelength Division Multiplexing (WDM) Technology for Naval Air Applications

Sea Surface Backscatter Distortions of Scanning Radar Altimeter Ocean Wave Measurements

RADAR SATELLITES AND MARITIME DOMAIN AWARENESS

Adaptive CFAR Performance Prediction in an Uncertain Environment

Comparison Of A Trans-Horizon Littoral Clutter Model With Shipboard Radar Data

Army Acoustics Needs

Operational Domain Systems Engineering

Effects of Fiberglass Poles on Radiation Patterns of Log-Periodic Antennas

BIOGRAPHY ABSTRACT. This paper will present the design of the dual-frequency L1/L2 S-CRPA and the measurement results of the antenna elements.

Advancing Autonomy on Man Portable Robots. Brandon Sights SPAWAR Systems Center, San Diego May 14, 2008

UNCLASSIFIED UNCLASSIFIED 1

Marine~4 Pbscl~ PHYS(O laboratory -Ip ISUt

A RENEWED SPIRIT OF DISCOVERY

THE NATIONAL SHIPBUILDING RESEARCH PROGRAM

David Siegel Masters Student University of Cincinnati. IAB 17, May 5 7, 2009 Ford & UM

A Comparison of Two Computational Technologies for Digital Pulse Compression

Synthetic Behavior for Small Unit Infantry: Basic Situational Awareness Infrastructure

Analytical Evaluation Framework

AUVFEST 05 Quick Look Report of NPS Activities

Technology Maturation Planning for the Autonomous Approach and Landing Capability (AALC) Program

North Pacific Acoustic Laboratory (NPAL) Towed Array Measurements

Marine Mammal Acoustic Tracking from Adapting HARP Technologies

RECENT TIMING ACTIVITIES AT THE U.S. NAVAL RESEARCH LABORATORY

Acoustic Horizontal Coherence and Beamwidth Variability Observed in ASIAEX (SCS)

Best Practices for Technology Transition. Technology Maturity Conference September 12, 2007

Active Denial Array. Directed Energy. Technology, Modeling, and Assessment

MONITORING RUBBLE-MOUND COASTAL STRUCTURES WITH PHOTOGRAMMETRY

PSEUDO-RANDOM CODE CORRELATOR TIMING ERRORS DUE TO MULTIPLE REFLECTIONS IN TRANSMISSION LINES

3D Propagation and Geoacoustic Inversion Studies in the Mid-Atlantic Bight

HF Radar Measurements of Ocean Surface Currents and Winds

IRTSS MODELING OF THE JCCD DATABASE. November Steve Luker AFRL/VSBE Hanscom AFB, MA And

Validated Antenna Models for Standard Gain Horn Antennas

Ship echo discrimination in HF radar sea-clutter

REPORT DOCUMENTATION PAGE

Academia. Elizabeth Mezzacappa, Ph.D. & Kenneth Short, Ph.D. Target Behavioral Response Laboratory (973)

DoDTechipedia. Technology Awareness. Technology and the Modern World

MINIATURIZED ANTENNAS FOR COMPACT SOLDIER COMBAT SYSTEMS

SURFACE WAVE SIMULATION AND PROCESSING WITH MATSEIS

Combining High Dynamic Range Photography and High Range Resolution RADAR for Pre-discharge Threat Cues

Report Documentation Page

Electromagnetic Railgun

14. Model Based Systems Engineering: Issues of application to Soft Systems

A Multi-Use Low-Cost, Integrated, Conductivity/Temperature Sensor

Ocean Acoustics and Signal Processing for Robust Detection and Estimation

Transcription:

262 Advanced Refractive Effects Prediction System (AREPS) Wayne L. Patterson SSC San Diego INTRODUCTION In 1987, SSC San Diego provided the U.S. Navy's operational fleet with its first capability to assess the effects of the atmosphere on the performance of electromagnetic (EM) systems such as radars and radios. This assessment system was named the Integrated Refractive Effects Prediction System (IREPS). IREPS was hosted on the Hewlett-Packard 9845 desktop calculator. The EM propagation models of IREPS were semi-empirical and assumed that the atmosphere is homogeneous in the horizontal. IREPS also assumed the earth's surface was water. As desktop computing developed and EM propagation modeling advanced, the various assumptions of IREPS were overcome. In response to a request from Commander, Sixth Fleet during the Bosnian campaign, a new assessment system, the Advanced Refractive Effects Prediction System (AREPS) was fielded for fleet operations. AREPS computes and displays radar probability of detection, propagation loss and signal-to-noise ratios, electronic-support-measures (ESM) vulnerability, UHF/VHF communications, and surface-borne surfacesearch radar capability vs. range, height, and bearing from the transmitter. The power of AREPS derives from its Windows 95/NT interface, making full use of pop-up menus, object linking and embedding (OLE) features such as file drag and drop and graphics export, and extensive online help with color graphic examples. At the core of AREPS is our Advanced Propagation Model (APM), a hybrid ray-optic and parabolic equation (PE) model that uses the complementary strengths of both methods to construct a fast yet very accurate composite model. Depending on the requirements of the tactical decision aid, APM will run in several different modes. For the full hybrid mode, APM is much faster than PE models alone, with overall accuracy at least as good as the pure PE models. With its airborne submodel, APM can solve problems for very high elevation angles where PE methods would not normally be used. APM allows for range-dependent refractivity over various sea and/or terrain paths. Not only does the terrain path include variable terrain heights, it may also include range-varying dielectric ground constants for finite conductivity and vertical polarization calculations. APM considers absorption of electromagnetic energy by oxygen and water vapor. APM ABSTRACT In 1987, SSC San Diego fielded the Integrated Refractive Effects Prediction System (IREPS), the world's first electromagnetic prediction system for shipboard use. Advances in research and technology have led to the replacement of IREPS with the Advanced Refractive Effects Prediction System (AREPS). AREPS computes and displays radar probability of detection, propagation loss and signal-to-noise ratios, electronicsupport-measures vulnerability, UHF/VHF communications, and surface-borne surface-search radar capability vs. range, height, and bearing from the transmitter.

Report Documentation Page Form Approved OMB No. 0704-0188 Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. 1. REPORT DATE AUG 2001 2. REPORT TYPE 3. DATES COVERED - 4. TITLE AND SUBTITLE Advanced Refractive Effects Prediction System (AREPS) 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Space and Naval Warfare Systems Center,53560 Hull Street,San Diego,CA,92152-5001 8. PERFORMING ORGANIZATION REPORT NUMBER 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR S ACRONYM(S) 12. DISTRIBUTION/AVAILABILITY STATEMENT Approved for public release; distribution unlimited 13. SUPPLEMENTARY NOTES The original document contains color images. 11. SPONSOR/MONITOR S REPORT NUMBER(S) 14. ABSTRACT In 1987, SSC San Diego fielded the Integrated Refractive Effects Prediction System (IREPS), the world s first electromagnetic prediction system for shipboard use. Advances in research and technology have led to the replacement of IREPS with the Advanced Refractive Effects Prediction System (AREPS). AREPS computes and displays radar probability of detection, propagation loss and signal-to-noise ratios, electronicsupport- measures vulnerability, UHF/VHF communications, and surface-borne surface-search radar capability vs. range, height, and bearing from the transmitter. 15. SUBJECT TERMS 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT a. REPORT unclassified b. ABSTRACT unclassified c. THIS PAGE unclassified 18. NUMBER OF PAGES 5 19a. NAME OF RESPONSIBLE PERSON Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18

Advanced Refractive Effects Prediction System 263 accounts for all normal propagation mechanisms, including troposcatter and the anomalous propagation mechanisms of subrefraction, superrefraction, and ducting. AREPS DISPLAYS The primary AREPS displays are height vs. range and bearing coverage and path loss vs. height/range and bearing. Figure 1 shows such a coverage display for shipborne air-search radar with its probability of detecting a "small-sized" jet. For this case, the atmosphere is range-dependent, with a surface-based duct existing at the transmitter location, rising to become an elevated duct over the terrain features. To the lower right of the coverage display is a small map, in a simulated plan-position-indicator (ppi) picture format, showing the transmitter location, the display's current bearing, and the terrain heights. At the top of the display window is a series of buttons that allow you to animate the display in bearing, both forward and backward, to pause the animation, and to obtain a printed copy of the display. Because AREPS is a Windows 95/NT program, the full capabilities of the operating system are available. For example, should you desire to brief the display, you may "copy" the display to the Windows 95/NT clipboard and "paste" it directly into a presentation package such as Microsoft PowerPoint. To obtain loss vs. range and or height displays (Figures 2 and 3), you simply click the right mouse button on the coverage display. Figure 4 shows the coverage for an airborne transmitter in the presence of an elevated duct; Figure 5 shows the simultaneous surface-based radar coverage and ESM vulnerability; and Figure 6 shows the UHF communication assessment. Note also the three earth surface depictions: dual curved, curved, and flat. In addition to coverage displays, the effects of radar cross section variability as a function of viewing angle, ship displacement, ship height, and range are combined with the APM capabilities of range-dependent environments and terrain to produce a bar graph display (Figure 7) of detection for five classes of ship targets. These classes range from small (a patrol boat) to a very large warship (aircraft carrier). The viewing angle variability is displayed as subbars within each ship class. These angles are labeled minimum, maximum, and average, corresponding to bow, beam, and quarter. FIGURE 1. AREPS radar probability of detection coverage display. FIGURE 2. AREPS loss vs. range display. EM Systems Database AREPS is an unclassified program and, as such, does not include a preestablished EM system parameter database. Users are solely responsible for creating a system parameter database appropriate to their situation. To assist in this task, a database creation and maintenance capability is provided that uses fill-in-the-blank forms. Figure 8 shows such a form FIGURE 3. AREPS loss vs. height display.

264 COMMUNICATION SYSTEMS TECHNOLOGIES FIGURE 4. AREPS airborne air-search application. FIGURE 5. AREPS radar probability of detection and ESM vulnerability application. FIGURE 6. AREPS communications application. FIGURE 7. Surface-search range tables. FIGURE 8. AREPS radar system input window.

Advanced Refractive Effects Prediction System 265 for a radar system. As one navigates the form, input prompts, parameter limits, and other guidance are displayed in a status bar located at the bottom of the window. AREPS capabilities include antenna radiation patterns of specific system height-finder antennas and a user-defined antenna pattern. Detection threshold calculations include radars using incoherent and coherent integration techniques. In addition to pulsed radar systems, users may enter continuous wave and other non-pulsed systems, UHF and VHF communications systems, ESM receivers, and radar target descriptions. Terrain Data AREPS derives its terrain height data primarily from the Digital Terrain Elevation Data (DTED) provided by the National Imagery and Mapping Agency (NIMA), available either on CD-ROM or from the NIMA Internet homepage. DTED data are provided in level 0, level 1, and level 2 formats. Level 0 data spacing is 30 arc seconds in horizontal resolution (approximately 1 km). DTED level 0 data are unlimited distribution and may be obtained directly from NIMA's Internet homepage. DTED level 1 data spacing is 3 arc seconds in horizontal resolution (approximately 100 m). Level 2 data spacing is 1 arc second in horizontal resolution (approximately 30 m). Level 1 and 2 data are limited distribution. DTED data are not and may not be distributed with AREPS. For ease of input when using DTED CD-ROMs, users need only specify the latitude and longitude location of their transmitter. The AREPS program will determine which CD-ROM is required, prompt to insert the CD-ROM into the drive, and automatically extract the terrain data needed. In addition to terrain elevations, the APM allows for the specification of range-dependent surface conditions should users be concerned about surface types for vertically polarized antennas. AREPS uses the surface conditions as defined by the International Telecommunication Union, International Radio Consultative Committee (CCIR). These conditions are provided by plain-language descriptors, selected from a drop-down menu. Environmental Input Atmospheric data may be derived from World Meteorological Organization (WMO) upper air observations. The entry of environmental data into AREPS has been completely automated by using the capabilities of the Windows 95/NT operating system. Within normal naval message traffic, WMO-coded radiosonde messages are routinely available. Figure 9 shows such a message. Users need only locate the message (for a ship, the message is usually available on the ship's local area network); open the message file using any ASCII text FM COMSIXTHFLT TO OCEANO EAST USS GEORGE WASHINGTON USS ARTHUR W RADFORD USS CONOLLY USS GUAM BT SUBJ/UPPER AIR OBSERVATION // RMKS/ 1. UUAA 77003 99424 10053 18025 99018 17822 29023 00171 18258 31535 92838 16461 32022 85554 13464 31029 70169 05272 31032 50581 13764 29033 40747 25976 30041 30949 421// 30548 25069 ///// 88999 77999 UUBB 77005 99424 10053 18025 00018 17822 11989 19063 22845 13466 33835 14268 44817 13069 55/// ///// 66771 10467 77754 09667 88/// ///// 99731 08874 11730 08873 22/// ///// 33707 06073 44578 07359 55551 09757 66540 10158 77539 09558 88511 12369 99463 18546 11429 22563 22414 24760 33406 25373 44381 27780 55258 505// 41414 12345 21212 00018 29023 11012 31532 22002 31535 33934 32022 44826 31030 55/// ///// 66718 30528 77496 29034 88258 31049 BT NNNN FIGURE 9. WMO radiosonde message from Commander, Sixth Fleet.

266 COMMUNICATION SYSTEMS TECHNOLOGIES editor (e.g., Notepad) provided with Windows 95/NT; "copy" the text to the Windows clipboard; and "paste" it into the Import WMO Code window of AREPS (Figure 10). All extraneous text is filtered; the message is decoded; and a height vs. M-unit profile is automatically created. Should the observation be from a sea-based platform, the surface temperature and humidity are used to calculate a neutral-profile evaporation duct profile, and this profile is appended to the upper air portion of the observation. If surface observations are available, users FIGURE 10. Import WMO code tab for new environmental input. may override the neutral profile and include full stability dependency. It is not always necessary to have access to a local area network for the WMO observation. Many shore organizations and ships post their local radiosonde observations on their Internet or SIPRNET (Secure Internet Protocol Router Network) homepage. Once such a homepage is found for the user's particular area of interest, the WMO report may be copied to the Windows 95/NT clipboard directly from the browser (such as Netscape or Microsoft Internet Explorer), and then pasted into the Import WMO Code window. For military users, WMO reports are also available from the Fleet Numerical Meteorology and Oceanography Center (METOC) by using the Joint METOC Viewer (JMV) and/or the METOC Broadcast (METCAST) client. For those without access to observational data in the WMO format, AREPS contains options to import observational data in a generic column format. Should real-time data be unavailable, AREPS contains a climatology of ducting conditions taken from 921 observing stations worldwide. With the release of AREPS version 3.0, environmental data may now be obtained from mesoscale numerical meteorological models such as the Coupled Ocean and Atmosphere Mesoscale Prediction System (COAMPS). Thus, for the first time, predictions of systems' performance based on future atmospheric conditions are possible, giving the operator or the tactical decision-maker a valuable tool for mission planning. Distribution and Support AREPS is configured for Defense Information Infrastructure Common Operating Environment (DII COE) compliance and has been submitted as a Global Command and Control System Maritime (GCCS M) segment. We also provide distribution and technical support for the AREPS program. Distribution is provided on CD-ROM through U.S. mail or by direct download of the program from our Internet homepage (http://sunspot.spawar.navy.mil). In addition to the program software, our homepage includes help topics, frequently asked questions, and program service packages. Wayne L. Patterson MS in Meteorology, Naval Postgraduate School, 1977 Current Research: Implementation of advanced atmospheric electromagnetic wave propagation models into fleet operational systems; mesoscale meteorological model interfaces to propagation models.