Title :
Compressive sensing radar imaging under low SINR via waveform optimization
Author :
Yapeng He ; Hongxing Dang ; Xiaomin Tan
Author_Institution :
Inst. of Microwave Remote Sensing & Data Transm., Xi´an, China
Abstract :
To enhance the performance of compressive sensing radar (CSR) imaging in low SINR, a waveform optimization method at the transmitter, instead of processing signal at the receiver, is proposed. The method can effectively improve the CSR range-Doppler imaging quality and reduce the target range-Doppler parameter estimation error in low SINR. Simulation results show the effectiveness of this method.
Keywords :
Doppler radar; compressed sensing; optimisation; radar imaging; radar receivers; radar signal processing; radar transmitters; waveform analysis; CSR range-Doppler imaging quality; SINR; compressive sensing radar imaging; receiver; signal processing; target range-Doppler parameter estimation error; transmitter; waveform optimization; Compressive Sensing Radar; Low SINR; Simulated Annealing; Waveform Optimization;
Conference_Titel :
Radar Conference 2013, IET International
Conference_Location :
Xi´an
Electronic_ISBN :
978-1-84919-603-1
DOI :
10.1049/cp.2013.0413