Title of Paper:Cross-Correlation Matrix-based Atomic Norm Minimization for L-shaped Array DOA Estimation

Hits:

Affiliation of Author(s):电子信息工程学院

Journal:2017 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC)

Key Words:2D-DOA estimation L-shaped array cross-correlation matrix atomic norm minimization pair matching

Abstract:A novel two dimension direction-of-arrival (2D-DOA) estimation method for L-shaped array using atomic norm minimization based on the cross-correlation matrix is proposed in this paper. We first reconstruct the autocorrelation matrix of observed signals in the Toeplitz structure by cross-correlation matrix-based atomic norm minimization (CCMANM), and then employ the reconstructed autocorrelation matrix together with Root-MUSIC to retrieve the corresponding frequency. Finally, a pair matching technique based on cross-correlation matrix is presented. In contract to the subspace-based methods, the proposed method can be carried out without knowing the number of source and numerical simulations demonstrate the effectiveness and outperformance of the proposed method.

Translation or Not:no

Date of Publication:2017-01-01

Co-author:zhangyu,王鑫海

Correspondence Author:ZHANG Gong