Title :
Application of compressed sensing theory to radar signal processing
Author :
Lei, Zhu ; Chunting, Qiu
Author_Institution :
Xi´´an Polytech. Univ., Xi´´an, China
Abstract :
Compressed sensing theory is a newly developed theory which unites the signal sampling and compression, based on the sparsity characteristic of signal. The union can reduce sampling rate, and then reduce computational complexity of the system without the loss of the performance of the system. The paper describes the theoretical frame and some key technical, and then illustrates the application of compressed sensing theory to radar signal processing.
Keywords :
computational complexity; radar signal processing; signal sampling; compressed sensing theory; computational complexity; radar signal processing; sampling rate reduction; signal compression; signal sampling; Matrix decomposition; Problem-solving; compressed sensing; direction of arrival; power spectrum estimation;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5563840
