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E-book: Non-Line-of-Sight Radar

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  • Format: 280 pages
  • Pub. Date: 31-Jan-2019
  • Publisher: Artech House Publishers
  • ISBN-13: 9781630815332
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Non-Line-of-Sight RadarLarger Image
  • Format: 280 pages
  • Pub. Date: 31-Jan-2019
  • Publisher: Artech House Publishers
  • ISBN-13: 9781630815332
Other books in subject:

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Non-Line-of-Sight Radar is the first book on the new and exciting area of detecting and tracking targets via radar multipath without direct-line-of-sight (DLOS). This revolutionary capability is finding new applications in the tracking of objects in non-line-of-sight (NLOS) urban environments including detection and tracking of UAVs. This book brings together for the first time all the essential underpinnings and techniques required to develop and field a viable NLOS radar. It presents many examples, including electromagnetic radiation propagation in urban NLOS environments, extracting building location and morphology from readily available terrain databases, predictive ray-tracing techniques, and multi-target NLOS tracking.



Readers will learn how to apply radar to urban tracking that was previously deemed impossible. The book shows how real-time physics calculations can be incorporated into the radar processor, and how existing radar hardware can be adopted for non-line-of-sight radar use without major upgrades. Including results from both high-fidelity, physics-based simulations and actual flight test data, this book establishes the efficacy of NLOS radar in practical applications.

Reviews

Non-line-of-sight Radar is the first book on the new and exciting area of detecting and tracking targets via radar multipath without direct-line-of-sight (DLOS). This revolutionary capability is finding new applications in the tracking of objects in non-line-of-sight (NLOS) urban environments including detection and tracking of UAVs. This book brings together for the first time all the essential underpinnings and techniques required to develop and field a viable NLOS radar. It presents many examples, including electromagnetic radiation propagation in urban NLOS environments, extracting building location and morphology from readily available terrain databases, predictive ray-tracing techniques, and multi-target NLOS tracking. * Stevo's Book Reviews *

Acknowledgments 9(2)
1 Introduction
11(8)
1.1 Background
11(3)
1.2 NLOS Radar Overview
14(2)
1.3
Chapter Outline
16(2)
References
18(1)
2 Review of Ground Surveillance Sensors
19(32)
2.1 MTI Radar
19(3)
2.2 Kalman Filter
22(9)
2.2.1 Linear Kalman Filter
22(6)
2.2.2 Extended Kalman Filter
28(3)
2.3 Multiple Hypothesis Tracking
31(9)
2.4 Bayesian Particle Filters
40(5)
2.5 Track-Before-Detect
45(3)
References
48(3)
3 Exploitation of Multipath Physics in Detection and Tracking
51(66)
3.1 Introduction
51(4)
3.2 Review of EM Propagation and Multipath
55(20)
3.2.1 Diffraction Assumption
55(2)
3.2.2 Ray Tracing
57(3)
3.2.3 Modeling Antenna Directivity and Gain
60(3)
3.2.4 Modeling Atmospheric Loss
63(1)
3.2.5 Treatment of Diffuse Scattering
64(1)
3.2.6 Modeling Surface Reflection Polarization Dependence
65(5)
3.2.7 Range-Doppler Processing
70(3)
3.2.8 MTI Signal Processing
73(2)
3.3 Geometric Analysis: A Basic EM Simulation Capability
75(7)
3.4 Full Electromagnetic Simulations
82(2)
3.5 Incorporating Building Geometries
84(2)
3.6 Radar System Analysis for Multipath Exploitation Radar
86(2)
3.7 Track Simulations of the City Model with MER Tower-Mounted Radar
88(6)
3.7.1 Track 1 (Urban) Simulation of Tower Mounted Radar
89(2)
3.7.2 Track 2 (Street) Simulation of Tower Mounted Radar
91(1)
3.7.3 Track 3 (Interstate) of Tower Mounted Radar
92(1)
3.7.4 Tower Simulation Summary
93(1)
3.8 Simulations of Phoenix/Tempe and Comparison with Experiment
94(7)
3.9 NLOS Tracking
101(12)
3.9.1 MER Data Collection Description
102(2)
3.9.2 Validation of Multipath Signatures
104(3)
3.9.3 KA-MAP NLOS Tracker
107(3)
3.9.4 NLOS Tracker Results
110(3)
3.10 Summary
113(1)
References
114(3)
4 Terrain Databases
117(24)
4.1 Terrain Databases
117(6)
4.1.1 DTED
118(1)
4.1.2 Land Cover
119(2)
4.1.3 Scattering Power versus Incident Angle
121(2)
4.2 Urban Databases
123(15)
4.2.1 Extracting Building Geometries from 2-D Databases
123(2)
4.2.2 Automatic Corner Detection Using Image Processing Algorithms
125(7)
4.2.3 Measuring Building Geometries from LiDAR
132(3)
4.2.4 Existing 3-D Urban Models
135(3)
References
138(3)
5 High-Fidelity Modeling and Simulation
141(38)
5.1 Geometries Optics Simulations of Terrain
142(11)
5.1.1 Terrain Scattering LOS Calculation Algorithm
145(1)
5.1.2 Terrain Scattering LOS Calculation Example
146(7)
5.2 Diffraction
153(5)
5.2.1 KED
153(2)
5.2.2 UTD
155(3)
5.3 SEKE
158(5)
5.4 Radar Simulations Using Elliptical Conic Sections
163(11)
5.5 Commercial Software
174(3)
References
177(2)
6 Computing Hardware Acceleration Strategies
179(26)
6.1 GPU Computational Model
181(2)
6.2 GPU Programming
183(1)
6.3 FPGA
184(4)
6.4 Ray-Tracing Line-of-Sight Algorithms
188(8)
6.4.1 Shapes and Ray Intersections
188(4)
6.4.2 Intersection Acceleration Algorithms
192(4)
6.5 GPU Ray-Tracing Example
196(4)
6.6 FPGA Ray Tracing
200(2)
References
202(3)
About the Authors 205(2)
Index 207
J.R. Guerci has 30 years of experience in advanced technology research and development in government, industrial, and academic settings including the US Defense Advanced Research Projects Agency (DARPA) as Director of the Special Projects Office (SPO) where he led the inception, research, development, execution, and ultimately transition of next generation multidisciplinary defense technologies. In 2007, he received the IEEE Warren D. White Award for radar adaptive processing and is a Fellow of the IEEE for contributions to advanced radar theory and embodiment in real-world systems. Brian Watson is a principal engineer at Information Systems Laboratories. He received his Ph.D. in physics from the University of Florida. He has written dozens of publications and contributed papers at conferences, and won the University of Floridas Tom Scott Award for distinction in experimental physics.
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