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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