Direction-of-Arrival Estimation Based on the Joint Diagonalization Structure of Multiple Fourth-Order Cumulant Matrices

A new algorithm for direction-of-arrival (DOA) estimation of non-Gaussian sources is proposed. Based on the joint diagonalization structure of multiple fourth-order cumulant matrices, a novel cost function is designed and a new spatial spectrum for direction finding at hand is derived. Unlike the su...

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Veröffentlicht in:IEEE signal processing letters 2009-03, Vol.16 (3), p.164-167
Hauptverfasser: Zeng, Wen-Jun, Li, Xi-Lin, Zhang, Xian-Da
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Li, Xi-Lin
Zhang, Xian-Da
description A new algorithm for direction-of-arrival (DOA) estimation of non-Gaussian sources is proposed. Based on the joint diagonalization structure of multiple fourth-order cumulant matrices, a novel cost function is designed and a new spatial spectrum for direction finding at hand is derived. Unlike the subspace-based techniques, it is not necessary to determine the number of sources in advance for the proposed algorithm. Moreover, the proposed method is insensitive to the spatially correlated noise. Simulation results are provided to demonstrate the performance of the proposed approach.
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subjects Algorithms
Colored noise
Computer simulation
Correlated noise
Correlation
Cost function
Covariance matrix
Degradation
Direction finding
Direction of arrival estimation
direction-of-arrival
high-order cumulants
joint diagonalization
Mathematical analysis
Matrices
Matrix methods
Multiple signal classification
Noise
Parametric statistics
Sensor arrays
Signal to noise ratio
White noise
title Direction-of-Arrival Estimation Based on the Joint Diagonalization Structure of Multiple Fourth-Order Cumulant Matrices
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