Title :
DOA estimation approach using sparse representation for sparse line array
Author :
Tang Bin;Wu Honggang;Mo Lei;Peng Wei
Author_Institution :
Chengdu Aeronautic Polytechnic, The Innovation Base of School-Enterprise Cooperation, Aviation Electronic Technology in Sichuan, Chengdu, China
fDate :
6/1/2015 12:00:00 AM
Abstract :
A new DOA estimation algorithm based on the sparse approximate representation of the received signals is proposed. Compared with subspace algorithms, the new algorithm with superresolution, needn´t a priori information of the number of signals, therefore it can deal with coherent signals. In the novel method, mixed norm combined 0-norm and 2-norm is used to aid sparse approximate representation, then the number of signals and signals´ DOA estimation is obtained. The numeric results show good agreement with the proposed theorem.
Keywords :
"Direction-of-arrival estimation","Estimation","Signal processing algorithms","Signal to noise ratio","Arrays","Approximation algorithms","Signal resolution"
Conference_Titel :
Communication Software and Networks (ICCSN), 2015 IEEE International Conference on
Print_ISBN :
978-1-4799-1983-3
DOI :
10.1109/ICCSN.2015.7296182