国防科技大学学报2012，Vol.34Issue(3)：131-135,5.
基于直接数据域自适应算法的相干信号DOA估计
DOA estimation of correlated signals based on the adaptive algorithm in direct data domain
摘要
Abstract
A novel method for high resolution direction-of-arrival ( DOA) estimation is proposed. 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. The proposed method can solve the false peak problem effectively in the spectral peak search. The noise subspace can be closed with several groups of linear non-correlated steady-state weights from utilizing different reference signals. A practical method for the DOA estimation of correlated signals is also presented, which utilizes the symmetric conjugate vector in direct data domain. Compared with the conventional method, the proposed approach does not need to estimate the source number and the covariance matrix. As it does not need the eigendecomposition and only has a computational complexity of O( MP) , it is a practical method for DOA estimation of correlated signals.关键词
DOA估计/直接数据域/自适应算法/参考阵元轮换/低复杂度Key words
DOA estimation/ direct data domain/ adaptive algorithm/ different reference signals/ low complexity分类
信息技术与安全科学引用本文复制引用
袁晓东,万建伟,程翥,石斌斌,许可..基于直接数据域自适应算法的相干信号DOA估计[J].国防科技大学学报,2012,34(3):131-135,5.基金项目
国家自然科学基金资助项目(61002022) （61002022）
