文件名称：2D DOA estimation with propagator method for correlated sources under unknown symmetric Toeplitz noise.pdf
文件大小：214KB
文件格式：PDF
更新时间：2013-08-05 10:01:13
Toeplitz Noise
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] requires. 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