Share This Article:

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

Abstract Full-Text HTML Download Download as PDF (Size:291KB) PP. 266-269
DOI: 10.4236/jsip.2011.24037    4,881 Downloads   8,713 Views   Citations

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.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

J. 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.

References

[1] R. O. Schmidt, “Multiple Emitter Location and Signal Parameter Estimation,” IEEE Transactions on Antennas and Propagation, Vol. 34, No. 3, 1986, pp. 276-280. doi:10.1109/TAP.1986.1143830
[2] B. D. Rao and K. V. S. Hari, “Performance Analysis of Root-Music,” IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 37, No. 12, 1989, pp. 1939-1949. doi:10.1109/29.45540
[3] R. Roy and T. Kailath, “ESPRIT-Estimation of Signal Parameters via Rotational Invariance Techniques,” IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 37, No. 17, 1989, pp. 984-995. doi:10.1109/29.32276
[4] 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
[5] J. F. Gu, P. Wei and H. M. Tai, “Fast Direction-of-Arrival Estimation with Known Waveforms and Linear Operators,” IET Signal Processing, Vol. 2, No. 1, 2008, pp. 27-36. doi:10.1049/iet-spr:20070066
[6] S. Marcos, A. Marsal and M. Benidir, “The Propagator Method for Source Bearing Estimation,” Signal Processing, Vol. 42, No. 2, 1995, pp. 121-138. doi:10.1016/0165-1684(94)00122-G
[7] J. Munier and G. Y. Delisle, “Spatial Analysis Using New Properties of the Cross-Spectral Matrix,” IEEE Transactions on Signal Processing, Vol. 39, No. 3, 1991, pp. 746-749. doi:10.1109/78.80863
[8] Y. T. Wu, C. H. Hou, G. S. Liao and Q. H. Guo, “Direction of Arrival Estimation in the Presence of Unknown Nonuniform Noise Fields,” IEEE Journal of Oceanic Engineering, Vol. 31, No. 2, 2006, pp. 504-510. doi:10.1109/JOE.2006.875270

  
comments powered by Disqus

Copyright © 2018 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.