缺失孔径下多基地外辐射源雷达成像算法

doi:10.3969/j.issn.1001-2400.2016.03.005

Abstract

Abstract:

Due to usually a small number of narrowband external illuminators and their uneven distribution, a single external illuminator and several receivers are used to synthetize aperture equivalently. The form of the target echo of the multistatic passive radar system is analyzed, and then the relationship of Fourier transform pair between target scattering function and the echo received by radar is deduced. Based on the prior knowledge of sparse distribution of the target, the algorithm of Compressed Sensing is used to recover the scattering coefficient of targets. Finally, the positions of receivers have been optimized by minimizing the correlation of the dictionary matrix based on minimizing the correlation coefficient of the dictionary matrix by the algorithm of Simulated Annealing (SA). Simulations show that the performance of the recovery of the image is improved significantly after optimizing.

Key words: multistatic passive radar imaging, compressed sensing, synthetic aperture, single external illuminator, optimal positions of receivers

WANG Jue;WANG Jun;WU Yong;DENG Yaqi;LUO Zhen. Multistatic passive radar imaging algorithm for the gapped aperture[J].Journal of Xidian University, 2016, 43(3): 25-30.

References

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Multistatic passive radar imaging algorithm for the gapped aperture

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