1
Department of Electrical and Electronics Engineering-Shiraz University of Technology-Iran
2
Shiraz University
Abstract
In this paper, a new method is presented to cancel the direct signal in multistatic passive synthetic aperture radar using compressed sensing algorithm. The receiver is movable and the opportunity transmitters are fixed in the multistatic geometry. The opportunity transmitters are DVB-T for imaging. Multiple transmitters are used to improve the range resolution in the passive SAR. In this paper, first, a linear model for the multistatic passive SAR is extracted in the presence of the direct signal, and then they are canceled using compressed sensing algorithm. The amplitude of direct signal is considered complex in the extractive model. The simulation results also confirm that the compressed sensing algorithm for cancelling the direct signal has a good performance.
Ansari, F., Samadi, S., & mohseni, R. (2023). Direct signal cancelation in multistatic passive synthetic aperture radar based on DVB-T signal using compressed sensing algorithms. Radar, 10(2), -.
MLA
Farzad Ansari; Sadegh Samadi; reza mohseni. "Direct signal cancelation in multistatic passive synthetic aperture radar based on DVB-T signal using compressed sensing algorithms". Radar, 10, 2, 2023, -.
HARVARD
Ansari, F., Samadi, S., mohseni, R. (2023). 'Direct signal cancelation in multistatic passive synthetic aperture radar based on DVB-T signal using compressed sensing algorithms', Radar, 10(2), pp. -.
VANCOUVER
Ansari, F., Samadi, S., mohseni, R. Direct signal cancelation in multistatic passive synthetic aperture radar based on DVB-T signal using compressed sensing algorithms. Radar, 2023; 10(2): -.
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