The Radar Moving Target without Signal Reconstructed Detection Algorithm Based on Compressed Sensing

  • Cong Liu, Yunqing Liu, Qi Li, Zikang Wei, Wei Gao
Keywords: Compressed Sensing, Compressive Detection, MTI, MTD, CFAR.

Abstract

This paper studies the compressive detection (CD) problem of radar sparse signals that does not require reconstruction of the original signal based on compressed sensing (CS) theory. Through the sparseness of the radar signal, the sparse vector of the radar echo signal is obtained, the measurement matrix is established, and the sparse signal is compressed and detected. After that, combined with moving target indication (MTI), moving target detention (MTD) and constant false alarm rate (CFAR), the detection of moving target signals is realized. Finally, the simulation results prove that the algorithm has good detection performance under low signal-to-noise ratio. Moreover, under a larger compression ratio, the detection performance is equivalent to that of the matched filter algorithm, without the need to reconstruct the signal, which reduces the amount of data calculations.

Published
2021-08-07
How to Cite
Zikang Wei, Wei Gao, C. L. Y. L. Q. L. (2021). The Radar Moving Target without Signal Reconstructed Detection Algorithm Based on Compressed Sensing. Design Engineering, 7179-7192. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/3232
Section
Articles