DOA Estimation Method of Weak Signal under the Compound Background of Strong Interference and Colored Noise

Abstract

The traditional algorithm performing direction of arrival (DOA) estimation under the background of strong interference and colored noise has the problems of low estimation accuracy and small measurement targets. Based on the construction of a fourth-order cumulant (FOC) matrix to suppress colored noise, this paper adopts the extended noise subspace (ENS) algorithm and the fixed projection blocking (FPB) algorithm to estimate the DOA of weak targets. Firstly, a FOC matrix of the received signal vector is established to curb the noise component, and the eigenvalue decomposition is performed. Then, two approaches of weak signal DOA estimation are proposed. One approach is to merge the space where the strong interference steering vector lies into the noise subspace to construct an extended noise subspace, and then, the multisignal classification (MUSIC) algorithm is used to obtain the DOA estimation of the weak signal on the basis of the extended noise subspace. Another approach is to build the orthogonal projection matrix of the interference subspace as the interference blocking matrix, and the receiving array signal is preprocessed, and on the basis of it, the eigen decomposition is performed again to obtain the DOA information of the weak signal. Both algorithms make breakthroughs in the aperture limitation of the traditional algorithm, effectively expand the aperture, and promote the accuracy of estimation. The simulation tests the effectiveness of the proposed method.

A novel DOA estimation method of antenna array under strong interference

“…It combines the interference subspace into the noise subspace to form a new noise subspace, then estimates DOA according to MUSIC algorithm. An improved ENS for weak signal DOA estimation under strong interference and colored noise is presented in [13]. Jian et al proposed a DOA estimation algorithm based on the elimination of the eigenvectors of interference (EEOI) [14].…”

A novel DOA estimation method for an antenna array under strong interference

“…It combines the interference subspace with the noise subspace to form a new noise subspace, and then estimates DOA according to the MUSIC algorithm. An improved ENS for weak signal DOA estimation under strong interference and coloured noise was presented in [16]. Gong et al [17] proposed a DOA estimation algorithm based on the elimination of the eigenvectors of interference (EEOI).…”