Navigation Satellite Passive Radar Moving Target Detection and SAR Imaging Based on FRFT

2010 ◽  
Author(s):  
Pengge Ma ◽  
Lin Qi ◽  
Enqing Chen ◽  
Ning Zheng
Keyword(s):  
Target Detection ◽  
Moving Target ◽  
Navigation Satellite ◽  
Passive Radar ◽  
Moving Target Detection ◽  
Sar Imaging

The Influence of Frequency Synchronization Error on SAR Imaging and ATI Moving Target Detection

2012 ◽  
Vol 546-547 ◽  
pp. 702-707
Author(s):  
Shao Bin Li ◽  
Zheng Chen ◽  
Zhi Ya Hao ◽  
Jian Jun Gao
Keyword(s):  
Target Detection ◽  
Synchronization Error ◽  
Main Lobe ◽  
Frequency Error ◽  
Moving Target ◽  
Frequency Synchronization ◽  
Moving Target Detection ◽  
Sar Imaging ◽  
Inherent Frequency ◽  
Along Track

The influence of frequency synchronization error on SAR imaging and moving target detection using Along-Track Interferometry (ATI) is researched. The expression of frequency synchronization error and its influence on SAR imaging is analyzed in detail firstly. Then, the basic theory of ATI to detect moving targets is introduced in brief, the ATI in range-Doppler domain is given and the influence of frequency synchronization error on the interferometric phase in range-Doppler domain is analyzed. The influence of three kinds of frequency synchronization error is given: the main lobe shift from the inherent frequency error, the main lobe expansion from the linear frequency error, and the sidelobe rise from the sinusoidal frequency error. Simulation is used to confirm the analysis.

scholarly journals Moving Target Detection in Multi-Static GNSS-Based Passive Radar Based on Multi-Bernoulli Filter

2020 ◽  
Vol 12 (21) ◽  
pp. 3495
Author(s):  
HongCheng Zeng ◽  
Jie Chen ◽  
PengBo Wang ◽  
Wei Liu ◽  
XinKai Zhou ◽  
...  
Keyword(s):  
Target Detection ◽  
Sequential Monte Carlo ◽  
Signal To Noise Ratio ◽  
Power Level ◽  
Estimation Method ◽  
Satellite System ◽  
Moving Target ◽  
Passive Radar ◽  
Moving Target Detection ◽  
Global Navigation Satellite

Over the past few years, the global navigation satellite system (GNSS)-based passive radar (GBPR) has attracted more and more attention and has developed very quickly. However, the low power level of GNSS signal limits its application. To enhance the ability of moving target detection, a multi-static GBPR (MsGBPR) system is considered in this paper, and a modified iterated-corrector multi-Bernoulli (ICMB) filter is also proposed. The likelihood ratio model of the MsGBPR with range-Doppler map is first presented. Then, a signal-to-noise ratio (SNR) online estimation method is proposed, which can estimate the fluctuating and unknown map SNR effectively. After that, a modified ICMB filter and its sequential Monte Carlo (SMC) implementation are proposed, which can update all measurements from multi-transmitters in the optimum order (ascending order). Moreover, based on the proposed method, a moving target detecting framework using MsGBPR data is also presented. Finally, performance of the proposed method is demonstrated by numerical simulations and preliminary experimental results, and it is shown that the position and velocity of the moving target can be estimated accurately.

scholarly journals MOVING TARGET DETECTION BY USING NEW LTE-BASED PASSIVE RADAR

2015 ◽  
Vol 63 ◽  
pp. 145-160 ◽  
Author(s):  
Raja Syamsul Azmir Raja Abdullah ◽  
Asem Ahmad Salah ◽  
Nur Emileen Abdul Rashid
Keyword(s):  
Target Detection ◽  
Moving Target ◽  
Passive Radar ◽  
Moving Target Detection
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