JOURNAL ARTICLE

A joint 3-D parameter estimation method without parameters pairing for near field sources

Abstract

A new method based on fourth-order cumulant for the joint estimation of the range, elevation and azimuth of spatial near-field sources is presented. The proposed method adopts non-centro-symmetric cross array, constructs cumulant matrixes using received array data, and constructs five signal subspace matrixes through SVD decomposition. According to the tripartite relationships among subspace matrixes, eigenvalue of the matrix and the eigenvector of opposition the eigenvalue, the parameters can be auto paired. The method does not require any spectral peak search, and can be applied to additive Gaussian noise environment. The performance of the proposed method is verified by computer simulations.

Keywords:
Azimuth Eigendecomposition of a matrix Subspace topology Pairing Signal subspace Eigenvalues and eigenvectors Algorithm Singular value decomposition Gaussian Cumulant Computer science Matrix decomposition Mathematics Gaussian noise Covariance matrix Applied mathematics Noise (video) Statistics Artificial intelligence Physics Geometry

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Topics

Direction-of-Arrival Estimation Techniques
Physical Sciences →  Computer Science →  Signal Processing
Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Advanced Adaptive Filtering Techniques
Physical Sciences →  Engineering →  Computational Mechanics
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