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J. Xin and A. Sano, “Computationally Efficient Subspace Based Method for Direction of Arrival Estimation without Eigendecomposition,” IEEE Transactions on Signal Processing, Vol. 52, No. 4, 2004, pp. 876-893. doi:10.1109/TSP.2004.823469

has been cited by the following article:

• TITLE: Fast Algorithm for DOA Estimation with Partial Covariance Matrix and without Eigendecomposition

  AUTHORS: Jianfeng Chen, Yuntao Wu, Hui Cao, Hai Wang

  KEYWORDS: Fast Algorithm, DOA Estimation, Subspace-Based Method

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.2 No.4, November 16, 2011

  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.