2-D DOA Estimation of Quasi-Stationary Signals via Tensor Modeling
A two-dimensional direction-of-arrival estimation of quasi-stationary signals via tensor modeling using an L-shape array is presented in this paper.This is a novel approach which is an extension of Khatri-Rao subspace approach,denoted by extended Khatri-Rao subspace approach.The proposed approach can work even when number of sensors is less than number of sources.To utilize the multilinear algebra,direction of arrival (DOA) is developed in the multidimensional sense.The effectiveness of the proposed method is verified through numerical examples.
quasi-stationary signals (QSS),underdetermined direction of arrival (DOA) estimation,tensor,multilinear algebra,unknown noise covariance
Jie Hu Wei Li Yongjue Chen
Department of Electronic and Information Engineering, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China
国际会议
重庆
英文
458-462
2015-03-21(万方平台首次上网日期,不代表论文的发表时间)