Title :
Spectrum analysis of multiple PRF radars based on the compressive sensing method
Author :
Talaei, Farnoosh ; Modarres-Hashemi, M. ; Sadri, Saeed
Author_Institution :
Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan, Iran
Abstract :
In this paper, an algorithm for spectrum analysis of multiple pulse repetition frequency (PRF) radars is presented. The algorithm is based on the compressive sensing theorem and uses the sparsity characteristic of received signal in frequency domain and universal sampling pattern of multiple PRF pulses for determining the Doppler frequencies of targets. The algorithm works properly in lower sampling rates and in the presence of multiple targets and ground clutter. Simulation results are presented for evaluating the performance of the algorithm.
Keywords :
Doppler shift; data compression; frequency-domain analysis; radar clutter; radar signal processing; signal reconstruction; signal sampling; spectral analysis; Doppler frequency; compressive sensing method; frequency domain; multiple PRF radars; multiple pulse repetition frequency radars; received signal sparsity characteristic; spectrum analysis; universal sampling pattern; Compressive sensing; Doppler estimation; Multiple PRF radar;
Conference_Titel :
Electrical Engineering (ICEE), 2011 19th Iranian Conference on
Conference_Location :
Tehran
Print_ISBN :
978-1-4577-0730-8