DOA estimation for non-Gaussian signals using fourth-order cumulants

Z. Ye; Y. Zhang

DOA estimation for non-Gaussian signals using fourth-order cumulants

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DOA estimation for non-Gaussian signals using fourth-order cumulants

Author(s): Z. Ye and Y. Zhang
DOI: 10.1049/iet-map.2007.0278

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Author(s): Z. Ye ¹ and Y. Zhang ¹
- Affiliations: 1: Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, People's Republic of China
Source: Volume 3, Issue 7, October 2009, p. 1069 – 1078
DOI: 10.1049/iet-map.2007.0278 , Print ISSN 1751-8725, Online ISSN 1751-8733

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A novel method based on fourth-order cumulants (FOC) is proposed for direction of arrival (DOA) estimation with uniform linear array (ULA). The method can be applied in the situation that the non-Gaussian independent and coherent signals coexist with unknown coloured Gaussian noise. The method comprises two steps: the first step is to estimate the independent signals, and then they are eliminated; the second step is to resolve the coherent signals with the reconstructed FOC matrix of coherent signals. The proposed method can also be extended to the scenario when independent, partially correlated and coherent signals coexist, and the number of signals resolved by our method can exceed the number of array elements. Simulation results demonstrate the effectiveness and efficiency of our method.

References

1. 1)
  - E. Gonen , J.M. Mendel . Applications of cumulants to array processing—Part III: blind beamforming for coherent signals. IEEE Trans. Signal Process. , 9 , 2252 - 2264
2. 2)
  - Y.H. Choi . Subspace-based coherent source localization with forward/backward covariance matrices. Proc. Inst. Elect. Eng. Radar Sonar Navig. , 3 , 145 - 151
3. 3)
  - M.L. McCloud , L.L. Scharf . A new subspace identification algorithm for high resolution DOA estimation. IEEE Trans. Antennas Propag. , 10 , 1382 - 1390
4. 4)
  - R. Roy , T. Kailath . ESPRIT-estimation of signal parameters via rotational invariance techniques. IEEE Trans. Acoust. Speech Signal Process. , 984 - 995
5. 5)
  - M.C. Dogan , J.M. Mendel . Applications of cumulants to array processing – Part I: aperture extension and array calibration. IEEE Trans. Signal Process. , 5 , 1200 - 1216
6. 6)
  - N. Yuen , B. Friedlander . DOA estimation in multipath: an approach using fourth-order cumulants. IEEE Trans. Signal Process. , 5 , 1253 - 1263
7. 7)
  - Y.-H. Chen , Y.-S. Lin . A modified cumulant matrix for DOA estimation. IEEE Trans. Signal Process. , 11 , 3287 - 3291
8. 8)
  - T.J. Shan , A. Paulraj , T. Kailath . On smoothed rank profile tests in eigenstructure methods for directions-of-arrival estimation. IEEE Trans. Signal Process. , 10 , 1377 - 1385
9. 9)
  - E. Gonön , J.M. Mendel , M.C. Dogăn . Applications of cumulants to array processing – Part IV: direction finding in coherent signals case. IEEE Trans. Signal Process. , 9 , 2265 - 2276
10. 10)
  - M. Wax , T. Kailath . Detection of signals by information theoretic criteria. IEEE Trans. Acoust. Speech Signal Process. , 2 , 387 - 392
11. 11)
  - J.H. Cozzens , M.J. Sousa . Source enumeration in a correlated signal environment. IEEE Trans. Signal Process. , 2 , 304 - 317
12. 12)
  - J.S. Thompson , P.M. Grant , B. Mulgrew , R. Rajagopal . Generalized algorithm for DOA estimation in a passive sonar. IEE Proc. F Radar Signal Process. , 5 , 339 - 340
13. 13)
  - B. Porat , B. Friedlander . Direction finding algorithms based on high-order statistics. IEEE Trans. Signal Process. , 1 , 2016 - 2025
14. 14)
  - T. Shan , T. Kailath . Adaptive beamforming for coherent signals and interference. IEEE Trans. Acoust. Speech Signal Process. , 3 , 527 - 536
15. 15)
  - X. Xu , Z.F. Ye , Y.F. Zhang , C.Q. Chang . A deflation approach to direction of arrival estimation for symmetric uniform linear array. IEEE Antennas Wirel. Propag. Lett. , 1 , 486 - 489
16. 16)
  - Z.F. Ye , X. Xu . DOA estimation by exploiting the symmetric configuration of uniform linear array. IEEE Trans. Antennas Propag. , 12 , 3716 - 3720
17. 17)
  - T. Shan , M. Wax , T. Kailath . Spatial smoothing for direction of arrival estimation of coherent signals. IEEE Trans. Acoust. Speech Signal Process. , 4 , 806 - 811
18. 18)
  - Chiang, H.H., Nikias, C.L.: `The ESPRIT algorithm with high order statistics', Proc. Workshop Higher Order Stat., 1989, Vail, CO, p. 163–168.
19. 19)
  - R. Rajagopal , P.R. Rao . Generalized algorithm for DOA estimation in a passive sonar. IEE Proc. F Radar Signal Process. , 1 , 12 - 20
20. 20)
  - S.U. Pillai , B.H. Kwon . Forward/backward spatial smoothing techniques for coherent signal identification. IEEE Trans. Acoust. Speech Signal Process. , 8 - 15
21. 21)
  - S. Lie , A.R. Leyman , Y.H. Chew . Fourth-order and weighted mixed order direction-of-arrival estimators. IEEE Signal Process. Lett. , 11 , 691 - 694
22. 22)
  - R. Schmidt . Multiple emitter location and signal parameter estimation. IEEE Trans. Antennas Propag. , 3 , 276 - 280
23. 23)
  - A. Swami . Multiplicative noise models: parameter estimation using cumulants. Signal Process. , 355 - 373

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DOA estimation for non-Gaussian signals using fourth-order cumulants

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