Source Number Estimation Based on Eigenvalue and Eigen Subspace Projection

Abstract

Abstract:

Detection of the source number is an important step in the high resolution spatial spectrum estimation algorithm. A fast algorithm based on matrix reconstruction and eigen-subspaces projection was proposed to solve source number estimation of the missile-borne array system. First, the array elements were divided into two groups. Then, a source number estimation matrix was reconstructed by covariance matrices of the data received from the array elements. Finally, the proposed algorithm utilized the eigen-subspace projection method to estimate the source number. It was proved that the signal energy was increased to the square times while the noise power was suppressed. Computer simulation confirmed that the algorithm accurately estimated the number of sources under scenarios of low SNR and deficient snapshots.

Key words: array signal processing, source number estimation, eigensubspace projection, missile-borne array

CLC Number:

TN 911.23

MAO Weiping，LI Guolin，LU Cuihua，XIE Xin. Source Number Estimation Based on Eigenvalue and Eigen Subspace Projection[J]. Journal of Shanghai Jiaotong University, 2014, 48(03): 341-345.

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