Moving target detection and imaging based on time-frequency transform

Zhenzhong Lu; Taiyi Zhang

doi:10.1117/12.488921

1 April 2003 Moving target detection and imaging based on time-frequency transform

Zhenzhong Lu, Taiyi Zhang

Proceedings Volume 5102, Independent Component Analyses, Wavelets, and Neural Networks; (2003) https://doi.org/10.1117/12.488921
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

A ground simulator GSSS to be used at SAR factory, laboratory and imaging users is developed. When synchronization is set up between a real SAR and the GSSS, the system can be used to check, test the SAR system or make diagnosis for it. In this paper, we discuss the basic principle of GSS, and mainly focus on issues of SAR imaging, moving target detection and application of time-frequency transform algorithm. Several simulated examples of moving target detection and stationary scenery imaging are discussed. Simulation results are presented to validate the analysis and illumine new ideas.

Citation Download Citation

Zhenzhong Lu and Taiyi Zhang "Moving target detection and imaging based on time-frequency transform", Proc. SPIE 5102, Independent Component Analyses, Wavelets, and Neural Networks, (1 April 2003); https://doi.org/10.1117/12.488921

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KEYWORDS

Target detection

Synthetic aperture radar

Time-frequency analysis

Detection and tracking algorithms

Device simulation

Independent component analysis

Neural networks

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