Accurate direction-of-arrival estimation for coherent signals
Jiajia Jiang, Fajie Duan, Yanchao Li
Abstract
Jiajia Jiang, Fajie Duan, Yanchao Li
Abstract
An accurate direction-of-arrival (DOA) estimation algorithm is proposed with a uniform linear array (ULA) when coherent and uncorrelated signals coexist. By selecting the rank from the covariance matrix of array output, we first reconstruct a Toeplitz matrix so as to achieve the objective of decorrelation similar to reference [2]. And then we proposed a spectrum of improved MUSIC (named as SI-MUSIC) method to achieve a super-resolution angular estimation. Moreover, the angular resolution of the I-MUSIC method can be adjust according to the practical requirement. Simulation results demonstrate the effectiveness and performance of the proposed algorithm.
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An accurate direction-of-arrival (DOA) estimation algorithm is proposed with a uniform linear array (ULA) when coherent and uncorrelated signals coexist. By selecting the rank from the covariance matrix of array output, we first reconstruct a Toeplitz matrix so as to achieve the objective of decorrelation similar to reference [2]. And then we proposed a spectrum of improved MUSIC (named as SI-MUSIC) method to achieve a super-resolution angular estimation. Moreover, the angular resolution of the I-MUSIC method can be adjust according to the practical requirement. Simulation results demonstrate the effectiveness and performance of the proposed algorithm.
Key concepts: Decorrelation, Toeplitz matrix, Direction of arrival, Covariance matrix, Multiple signal classification, Computer science, Algorithm, Angular resolution (graph drawing)