Title :
CS-based moving target detection in random PRI radar
Author :
Liu Zhen ; Wei Xizhang ; Li Xiang
Abstract :
Based on the compressed sensing (CS), we present a novel framework of moving target detection in random PRI radar. Firstly, the statistical characteristics of correlation output are analyzed to reflect the sidelobe pedestal. Then the equivalent sensing matrix is verified to approximately accord with the restricted isometry property by comparing it to a typical random CS matrix in a statistical sense. In order to cover the concerned range and velocity multi-channel processing is used. The simulation results demonstrate that this scheme has high performance of detection and large unambiguous scope, which can also shorten the coherent processing interval compared to traditional staggered PRI mode.
Keywords :
compressed sensing; correlation theory; matrix algebra; object detection; radar signal processing; statistical analysis; compressed sensing; correlation processing; equivalent sensing matrix; moving target detection; multichannel processing; random PRI radar; sidelobe pedestal reflection; statistical characteristics; Coherence; Compressed sensing; Correlation; Doppler effect; Radar cross section; Signal to noise ratio; Moving target detection; compressed sensing; random PRI;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351903