Radar networks are increasingly regarded as an efficient approach to enhancing radar capabilities in the face of popular anti-radar techniques and hostile operating environments. Reader-friendly and self-contained, this book provides a comprehensive overview of the latest radar networking technologies. The text addresses basic, relevant aspects of radar signal processing and statistical theories, including both civilian and military radar applications. It also discusses emerging topics that directly relate to networks, such as multiple-inputmultiple-output (MIMO) radars, waveform design, and diversity via multiple transmitters. Other topics covered include target recognition and imaging using radar networks.
Features
Gives a comprehensive view of the latest radar network technologies
Covers both civilian and military applications of radar
Provides basic statistics and signal processing necessary for understanding radar networks
Includes up-to-date information on MIMO radars
Presents waveform design and diversity for radar networks with multiple transmitters
Arvustused
"Fundamentally, radar networks provide more information on a target scene than a single monostatic radar, but also have advantages in respect of flexibility and robustness, as well as improved resistance to jamming and countermeasures. A book that provides an introduction to the properties of this important new type of radar is, therefore, welcome...The style is quite theoretical, using graduate-level mathematics. Good use is made of diagrams to help present and explain the concepts...The book makes a useful contribution in an exciting and important new domain. It will be of value to graduate-level students, and researchers."
H D Griffiths, University College London, UK, AEROSPACE August 2022 edition
| Acknowledgments |
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| Authors |
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xv | |
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1 | (12) |
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1.1 History and Application of Radar |
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1 | (2) |
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1.2 Basic Radar Signal Processing |
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3 | (2) |
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1.3 Evolution of Radar Networks |
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1.4 Contribution of the Book and
Chapter Organization |
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8 | (2) |
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10 | (3) |
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Chapter 2 Radar and Radar Networks |
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13 | (32) |
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2.1 Introduction to Radar |
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13 | (3) |
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16 | (2) |
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18 | (3) |
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21 | (5) |
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26 | (4) |
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2.6 MIMO Radar and Radar Networks |
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30 | (6) |
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36 | (9) |
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Chapter 3 Radar Waveforms |
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45 | (34) |
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45 | (1) |
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46 | (3) |
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49 | (2) |
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3.4 Frequency-Modulated Waveform |
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51 | (11) |
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3.5 Phase-Modulated Waveform |
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62 | (5) |
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3.6 Multicarrier Phase-Coded (MCPC) Waveform |
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67 | (4) |
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3.7 Waveform Design for Multiple-Input-Multiple-Output (MIMO) Radar |
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71 | (5) |
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76 | (3) |
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Chapter 4 Space-Time Adaptive Processing (STAP) for Radar and Radar Networks |
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79 | (32) |
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4.1 STAP for Airborne Phased-Array Radar |
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80 | (10) |
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90 | (7) |
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4.3 RD-STAP and Training-Free STAP |
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97 | (5) |
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4.4 STAP for Passive Radar |
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102 | (6) |
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108 | (3) |
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Chapter 5 Target Detection Using Radar Networks |
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111 | (62) |
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5.1 Detection Theory Fundamentals |
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111 | (3) |
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5.2 Target Detection Using Monostatic Radar |
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114 | (10) |
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5.3 Target Detection Using Netted Radar Systems |
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124 | (41) |
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165 | (8) |
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Chapter 6 Target Measurements Using Radar Networks |
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173 | (36) |
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6.1 Estimation Theory Fundamentals |
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173 | (8) |
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6.2 Range/Doppler/Angle Estimation for Monostatic Radar |
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181 | (7) |
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6.3 Target Positioning Using Netted Radar Systems |
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188 | (3) |
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191 | (13) |
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204 | (5) |
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209 | (20) |
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7.1 Basics of Synthetic Aperture Radar (SAR) |
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209 | (2) |
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211 | (7) |
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218 | (5) |
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7.4 Interferometric SAR (InSAR) |
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223 | (1) |
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7.5 Multistatic SAR and MIMO SAR |
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223 | (3) |
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226 | (3) |
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229 | |
Hai Deng earned a PhD in electrical engineering at the University of Texas at Austin, Austin, Texas, USA, in 2000. He has been with the Department of Electrical and Computer Engineering, Florida International University (FIU), Miami, Florida, USA, since 2009. Prior to his tenure at FIU, he was also a faculty member in Department of Electrical Engineering at the University of New Orleans, New Orleans, Louisiana, USA, and the University of North Texas, Denton, Texas, USA. His research interests include radar systems, waveform design, signal processing, artificial intelligence, and radar networks.
Zhe Geng earned dual BS degrees (magna cum laude) in electrical engineering at FIU, Miami, Florida, USA, and Hebei University of Technology, Tianjin, China, in 2012. She also earned a PhD in electrical engineering at FIU in 2018. From 2018 to 2019, she was a research scientist at Wright State University, Dayton, Ohio, USA. In December 2019, Dr. Geng joined the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics (NUAA), where she is currently an associate professor. She was the recipient of FIUs most prestigious awards for entering doctoral students, the FIU Presidential Fellowship. Her research interests include distributed MIMO radar and joint radar-communications systems.
