DOA Estimation With Low Complexity Based on Adaptive Algorithm in Direct Data Domain
This paper presents a new direction-of-arrival (DOA) estimation algorithm. The novel approach constructs the spatial spectrum by utilizing the steady-state weights of the adaptive algorithm in direct data domain instead of the noise subspace. A practical method for the DOA estimation of coherent signals is also presented in this paper, which utilizes the symmetric conjugate vector in direct data domain. Compared with the conventional method, the proposed approach has improved performance, and it does not need to estimate the source number and the covariance matrix. Also, it does not need the eigendecomposition and only has a low computational complexity of O(MP).
DOA estimation direct data domain adaptive algorithm different reference signals low complexity
Xiao-dong Yuan Jian-wei Wan Zhu Cheng Ke Xu Bin-bin Shi
National University of Defense Technology, Changsha, 410073, P.R.China 94782 Force of PLA, Hangzhou, National University of Defense Technology, Changsha, 410073, P.R.China Air Force Early-warning Academy, Wuhan, 430019, P.R.China
国际会议
南京
英文
1-4
2011-11-09(万方平台首次上网日期,不代表论文的发表时间)