Feasibility Study of Passive Bistatic Radar Based on Phased Array Radar Signals

被引:2
作者
Pan, Jiameng [1 ]
Hu, Panhe [1 ]
Zhu, Qian [1 ]
Bao, Qinglong [1 ]
Chen, Zengping [2 ]
机构
[1] Natl Univ Def Technol, Natl Key Lab Sci & Technol ATR, Changsha 410073, Hunan, Peoples R China
[2] Sun Yat Sen Univ, Sch Elect & Commun Engn, Guangzhou 510275, Guangdong, Peoples R China
关键词
passive bistatic radar; phased array radar; parameter estimation; coherent integration; aircraft surveillance; ALGORITHM;
D O I
10.3390/electronics8070728
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents the concept of a passive bistatic radar (PBR) system using existing phased array radar (PAR) as the source of illumination. Different from PBR based on common civil illuminators of opportunity, we develop an experimental PBR system using an high-power air surveillance PAR with abundant signal modulation forms as the transmitter. After the introduction of the PBR system and PAR signals, it can be concluded that the agility of the waveform parameters of PAR signal brings two problems to the signal processing of the PBR systems, which are not discussed in conventional PBR systems. The first problem is the time and frequency synchronization of the system, so we propose a direct wave parameter estimation method based on template matching to estimate the parameters of the transmitted signal in real time to achieve time and frequency synchronization of the system. The second problem is the coherent integration for moving target detection and weak target detection, so we propose a coherent integration method based on Radon-Nonuniform Fast Fourier Transform (Radon-NUFFT) to deal with the problems introduced by the agile waveform parameters. Preliminary results from the field experiment demonstrate the feasibility of the PBR system based on PAR signals, and the effectiveness of the proposed methods is verified.
引用
收藏
页数:19
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共 27 条
[1]  
[Anonymous], P IEEE OES CHIN OC A
[2]   Spectral analysis of nonuniformly sampled data - a review [J].
Babu, Prabhu ;
Stoica, Petre .
DIGITAL SIGNAL PROCESSING, 2010, 20 (02) :359-378
[3]   ANALYSIS OF MULTICOMPONENT LFM SIGNALS BY A COMBINED WIGNER-HOUGH TRANSFORM [J].
BARBAROSSA, S .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1995, 43 (06) :1511-1515
[4]   Dynamic Clutter Suppression and Multitarget Detection in a DVB-T-Based Passive Radar [J].
Bolvardi, Hasan ;
Derakhtian, Mostafa ;
Sheikhi, Abbas .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2017, 53 (04) :1812-1825
[5]   GNSS-Based Passive Bistatic Radar for Micro-Doppler Analysis of Helicopter Rotor Blades [J].
Clemente, Carmine ;
Soraghan, John J. .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2014, 50 (01) :491-500
[6]   Experimental Results for OFDM WiFi-Based Passive Bistatic Radar [J].
Falcone, P. ;
Colone, F. ;
Bongioanni, C. ;
Lombardo, P. .
2010 IEEE RADAR CONFERENCE, 2010, :516-521
[7]   Passive bistatic radar using digital video broadcasting-terrestrial receivers as general-purpose software-defined radio receivers [J].
Feng, Weike ;
Friedt, Jean-Michel ;
Cherniak, Grigory ;
Sato, Motoyuki .
REVIEW OF SCIENTIFIC INSTRUMENTS, 2018, 89 (10)
[8]   Klein Heidelberg-The First Modern Bistatic Radar System [J].
Griffiths, Hugh ;
Willis, Nicholas .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2010, 46 (04) :1571-1588
[9]   Multi component LFM signal detection and parameter estimation based on EEMD-FRFT [J].
Hao, Huiyan .
OPTIK, 2013, 124 (23) :6093-6096
[10]   Understanding the Signal Structure in DVB-T Signals for Passive Radar Detection [J].
Harms, H. Andrew ;
Davis, Linda M. ;
Palmer, James .
2010 IEEE RADAR CONFERENCE, 2010, :532-537