Title :
A compressed sensing radar detection scheme for closing vehicle detection
Author :
Sun, Xuan ; Zhou, Zheng ; Zhao, Chenglin ; Zou, Weixia
Author_Institution :
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
A compressed sensing radar detection scheme for closing vehicle detection is proposed in this paper. Because most of the man-made signals are cyclostationary, the cyclic autocorrelation domain of the target return signal is sparse. The compressed sensing radar detection scheme in this paper is designed based on the sparsity of the cyclic autocorrelation of the target return signal. From the measurements based on the compressed sensing of the cyclic autocorrelation, the actual cyclic autocorrelation of the signal can be reconstructed. From the simulation, the dissertation can be made that a very simple OMP algorithm can get a high probability of detection.
Keywords :
radar detection; radar signal processing; road vehicle radar; signal reconstruction; OMP algorithm; closing vehicle detection; compressed sensing radar detection scheme; cyclic autocorrelation domain; cyclostationary; high probability; man-made signals; Compressed sensing; Correlation; Matching pursuit algorithms; Radar detection; Signal to noise ratio; Sparse matrices; OMP; compressed sensing radar detection; cyclostationary; sparsity;
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1550-3607
DOI :
10.1109/ICC.2012.6364925