Multi-Band Synthesis of Wideband Radar based on Compressed Sensing
Xiaobo Wang, Tiezhen Jiang · 2019 International Applied Computational Electromagnetics Society Symposium - China (ACES) · 2019
When the wideband radar signal is subjected to external interference and there is a large amount of missing in the intermediate frequency band, the received sparse frequency band can't obtain a good range profile. Compressed Sensing (CS) can recover original signal well by using algorithm and sparse signal. So, based on the CS theory, this paper studies a method to recover unknown frequency band and achieves multi-band synthesis of wideband radar by using sparse band signal and Orthogonal Matching Pursuit (OMP) algorithm. The simulation results show that the method can greatly improve the range profile resolution through observing its one-dimensional image of related distance. From the results, this method is advanced.