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

fYear

2014

fDate

5-8 Aug. 2014

Firstpage

61

Lastpage

64

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, Communications and Computing (ICSPCC), 2014 IEEE International Conference on

Conference_Location

Guilin

Print_ISBN

978-1-4799-5272-4

Type

conf

DOI

10.1109/ICSPCC.2014.6986152

Filename

6986152