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2D DOA estimation with propagator method for correlated sources under unknown symmetric Toeplitz noise.pdf
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上传时间: 2010-07-16
详细说明： This paper employs the propagator method (PM) to find the two-dimensional (2-D) direction of arrival angles (DOAs). Also the proposed algorithm can be applied to the situation when the incident sources are mixed either with uncorrelated or fully correlated (coherent) sources. This paper assumes a symmetric Toeplitz covariance matrix for the unknown noise model as in [4]. But the proposed algorithm, when compared with [4], has two main advantages: First, it does not require any eigen decomposition to find the DOAs whereas [4] req uires. Thus, the complexity can significantly be smaller than that in [4]. Second, the proposed algorithm requires the number of sensors K to be larger than the number of sources K, i.e., N>K, but the method in [4] requires N>2K. The proposed method is based on the covariance matrix difference between the average of the forward-backward covariance matrices of the received data and its Hermition of the backward. This difference is introduced to eliminate the noise components from the array structure. The numerical results verify that the proposed method performs successfully under the environment where the method in [4] fails, and furthermore gives better performance and less computation than the conventional MUSIC ...展开收缩
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