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E-raamat: Radar Networks [Taylor & Francis e-raamat]

, (University of North Texas, Denton, USA)
  • Formaat: 252 pages, 3 Tables, black and white; 32 Line drawings, black and white; 20 Halftones, black and white; 52 Illustrations, black and white
  • Ilmumisaeg: 01-Jul-2020
  • Kirjastus: CRC Press Inc
  • ISBN-13: 9780429139345
  • Taylor & Francis e-raamat
  • Hind: 193,88 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Tavahind: 276,97 €
  • Säästad 30%
  • Formaat: 252 pages, 3 Tables, black and white; 32 Line drawings, black and white; 20 Halftones, black and white; 52 Illustrations, black and white
  • Ilmumisaeg: 01-Jul-2020
  • Kirjastus: CRC Press Inc
  • ISBN-13: 9780429139345
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
Acknowledgments vii
Authors ix
List of Abbreviations
xi
List of Symbols
xv
Chapter 1 Introduction
1(12)
1.1 History and Application of Radar
1(2)
1.2 Basic Radar Signal Processing
3(2)
1.3 Evolution of Radar Networks
5(3)
1.4 Contribution of the Book and
Chapter Organization
8(2)
References
10(3)
Chapter 2 Radar and Radar Networks
13(32)
2.1 Introduction to Radar
13(3)
2.2 Radar Antenna
16(2)
2.3 Monostatic Radar
18(3)
2.4 Bistatic Radar
21(5)
2.5 Multistatic Radar
26(4)
2.6 MIMO Radar and Radar Networks
30(6)
References
36(9)
Chapter 3 Radar Waveforms
45(34)
3.1 Matched Filter
45(1)
3.2 Ambiguity Function
46(3)
3.3 Basic Radar Signals
49(2)
3.4 Frequency-Modulated Waveform
51(11)
3.5 Phase-Modulated Waveform
62(5)
3.6 Multicarrier Phase-Coded (MCPC) Waveform
67(4)
3.7 Waveform Design for Multiple-Input-Multiple-Output (MIMO) Radar
71(5)
References
76(3)
Chapter 4 Space-Time Adaptive Processing (STAP) for Radar and Radar Networks
79(32)
4.1 STAP for Airborne Phased-Array Radar
80(10)
4.2 STAP for MIMO Radar
90(7)
4.3 RD-STAP and Training-Free STAP
97(5)
4.4 STAP for Passive Radar
102(6)
References
108(3)
Chapter 5 Target Detection Using Radar Networks
111(62)
5.1 Detection Theory Fundamentals
111(3)
5.2 Target Detection Using Monostatic Radar
114(10)
5.3 Target Detection Using Netted Radar Systems
124(41)
References
165(8)
Chapter 6 Target Measurements Using Radar Networks
173(36)
6.1 Estimation Theory Fundamentals
173(8)
6.2 Range/Doppler/Angle Estimation for Monostatic Radar
181(7)
6.3 Target Positioning Using Netted Radar Systems
188(3)
6.4 Target Tracking
191(13)
References
204(5)
Chapter 7 Radar Imaging
209(20)
7.1 Basics of Synthetic Aperture Radar (SAR)
209(2)
7.2 StripmapSAR
211(7)
7.3 Spotlight SAR
218(5)
7.4 Interferometric SAR (InSAR)
223(1)
7.5 Multistatic SAR and MIMO SAR
223(3)
References
226(3)
Index 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.