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 JSIP  Vol.2 No.4 , November 2011
Fast Algorithm for DOA Estimation with Partial Covariance Matrix and without Eigendecomposition
Abstract: A fast algorithm for DOA estimation without eigendecomposition is proposed. Unlike the available propagation method (PM), the proposed method need only use partial cross-correlation of array output data, and hence the computational complexity is further reduced. Moreover, the proposed method is suitable for the case of spatially nonuniform colored noise. Simulation results show the performance of the proposed method is comparable to those of the existing PM method and the standard MUSIC method.
Cite this paper: nullJ. Chen, Y. Wu, H. Cao and H. Wang, "Fast Algorithm for DOA Estimation with Partial Covariance Matrix and without Eigendecomposition," Journal of Signal and Information Processing, Vol. 2 No. 4, 2011, pp. 266-269. doi: 10.4236/jsip.2011.24037.
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