Joint Angle and Array Gain-Phase Errors Estimation Using PM-like Algorithm for Bistatic MIMO Radar (original) (raw)

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References

  1. J.L. Chen, H. Gu, W.M. Su, A new method for joint DOD and DOA estimation in bistatic MIMO radar. IEEE Trans. Signal Process. 90(2), 714–718 (2010)
    Article MATH Google Scholar
  2. A. Di, Multiple sources location—a matrix decomposition approach. IEEE Trans. Acoust. Speech Signal Process. 35(4), 1086–1091 (1985)
    Google Scholar
  3. C. Duofang, C. Baixiao, Q. Guodong, Angle estimation using ESPRIT in MIMO radar. Electron. Lett. 44(12), 770–771 (2008)
    Article Google Scholar
  4. X. Gao, X.F. Zhang, G.P. Feng et al., On the MUSIC-derived approaches of angle estimation for bistatic MIMO radar, in International Conference on Wireless Networks and Information Systems, Shanghai, 28–29 Dec. 2009, pp. 343–346
    Google Scholar
  5. Y.D. Guo, Y.S. Zhang, N.N. Tong, ESPRIT-like angle estimation for bistatic MIMO radar with gain and phase uncertainties. Electron. Lett. 47(17), 996–997 (2011)
    Article Google Scholar
  6. A.M. Haimovich, R.S. Blum, L.J. Cimini, MIMO radar with widely separated antennas. IEEE Trans. Signal Process. 25(1), 116–129 (2008)
    Article Google Scholar
  7. M. Jin, G.S. Liao, J. Li, Joint DOD and DOA estimation for bistatic MIMO radar. IEEE Trans. Signal Process. 89(2), 244–251 (2009)
    Article MATH Google Scholar
  8. A. Li, S. Wang, Propagator method for DOA estimation using fourth-order cumulant, in International Conference on Wireless Communications, Networking and Mobile Computing, Wuhan, 23–25 Sept. 2011, pp. 1–4
    Google Scholar
  9. J. Li, P. Stoica, MIMO radar—diversity means superiority, in Proc. 14th Adaptive Sensor Array Process Workshop (ASAP’06), Lincoln Lab, Mass, USA (2006), pp. 2–6
    Google Scholar
  10. T.J. Shan, On smoothed rank profile tests in eigenstructure methods for directions-of-arrival estimation. IEEE Trans. Acoust. Speech Signal Process. 35(10), 1377–1385 (1987)
    Article Google Scholar
  11. P. Stoica, A. Nehorai, Performance study of conditional and unconditional direction-of-arrival estimation. IEEE Trans. Signal Process. 38(10), 1783–1795 (1990)
    MATH Google Scholar
  12. M. Sylvie, M. Alain, B. Messaoud, The propagator method for source bearing estimation. IEEE Trans. Signal Process. 42(1), 121–138 (1995)
    Google Scholar
  13. B.H. Wang, Y.L. Wang, H. Chen et al., Array calibration of angularly dependent gain and phase uncertainties with carry-on instrumental sensors, in IEEE International Symposium on Phased Array Systems and Technology, 14–17 Oct. 2003, pp. 182–186
    Chapter Google Scholar
  14. M. Wax, Detection of the number of coherent signals by the MDL principle. IEEE Trans. Acoust. Speech Signal Process. 37(8), 1190–1196 (1989)
    Article Google Scholar
  15. H.T. Wu, Source number estimator using Gerschgorin disks, in IEEE International Conference on Acoustics, Speech, and Signal Processing, Adelaide, SA 19–22 Apr. 1994, pp. 261–264, vol.4
    Google Scholar
  16. A. Zahernia, M.J. Dehghani, R. Javidan, MUSIC algorithm for DOA estimation using MIMO arrays, in International Conference on Telecommunication Systems, Services, and Applications, Bali, 20–21 Oct. 2011, pp. 149–153
    Google Scholar
  17. X.D. Zhang, Matrix Analysis and Applications (Tsinghua University Press, Beijing, 2004), pp. 107–111
    Google Scholar
  18. X.F. Zhang, Z.Y. Xu, L.Y. Xu et al., Trilinear decomposition-based transmit angle and receive angle estimation for MIMO radar. IET Radar Sonar Navig. 5(6), 626–631 (2011)
    Article Google Scholar
  19. Z.D. Zheng, J.Y. Zhang, Fast method for multi-target localization in bistatic MIMO radar. Electron. Lett. 47(2), 138–139 (2011)
    Article Google Scholar

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