Title :
A low complexity algorithm for DOA estimation based on reduced-rank covariance matrix
Author :
Yuanming Guo ; Wei Li ; Junyuan Shen ; Xuezhen Xu ; Jinjun Zhang ; Yanyan Zuo
Author_Institution :
Shenzhen Grad. Sch., Sch. of Electr. & Inf. Eng., Harbin Inst. of Technol., Shenzhen, China
Abstract :
This paper presents a new method to estimate the direction of arrival (DOA), which is based on the reduced rank covariance matrix. The new method can reduce the computation complexity greatly and keep a good performance at the same time. For comparison purpose, we compare this new method with the classical multiple signal classification (MUSIC). The results of the root mean square error and the computation time of this new method have displaced in this paper, which can be illustrated the efficiency of this new method.
Keywords :
computational complexity; covariance matrices; direction-of-arrival estimation; mean square error methods; DOA estimation; MUSIC; computation complexity; direction of arrival estimation; low complexity algorithm; multiple signal classification; reduced-rank covariance matrix; root mean square error; Arrays; Complexity theory; Covariance matrices; Direction-of-arrival estimation; Multiple signal classification; Signal processing algorithms; DOA; Low complexity; MUSIC; reduced rank;
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2014 IEEE International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4799-5272-4
DOI :
10.1109/ICSPCC.2014.6986152
