Journal of Electrical Engineering and Technology

  • 제13권2호
  • /
  • Pages.868-874
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  • 2018
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  • 1975-0102(pISSN)
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  • 2093-7423(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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Orthogonal Waveform Space Projection Method for Adaptive Jammer Suppression

  • Lee, Kang-In (Dept. of Wireless Communications Engineering, Kwangwoon University) ;
  • Yoon, Hojun (Dept. of Wireless Communications Engineering, Kwangwoon University) ;
  • Kim, Jongmann (Agency for Defense Development) ;
  • Chung, Young-Seek (Dept. of Electronic Convergence Engineering, Kwangwoon University)
  • 투고 : 2017.06.22
  • 심사 : 2017.10.16
  • 발행 : 2018.03.01
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초록

In this paper, we propose a new jammer suppression algorithm that uses orthogonal waveform space projection (OWSP) processing for a multiple input multiple output (MIMO) radar system exposed to a jamming signal. Generally, a conventional suppression algorithm based on adaptive beamforming (ABF) needs a covariance matrix composed of the jammer and noise only. By exploiting the orthogonality of the transmitting waveforms of MIMO, we can construct a transmitting waveform space (TWS). Then, using the OWSP processing, we can build a space orthogonal to the TWS that contains no SOI. By excluding the SOI from the received signal, even in the case that contains the SOI and jamming signal, the proposed algorithm makes it possible to evaluate the covariance matrix for ABF. We applied the proposed OWSP processing to suppressing the jamming signal in bistatic MIMO radar. We verified the performance of the proposed algorithm by comparing the SINR loss to that of the ideal covariance matrix composed of the jammer and noise only. We also derived the computational complexity of the proposed algorithm and compared the estimation of the DOD and DOA using the SOI with those using the generalized likelihood ratio test (GLRT) algorithm.

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참고문헌

  1. J. Li and P. Stoica, "MIMO Radar Signal Processing," Wiley, 2008, pp. 1-64.
  2. E. Fishler, A. Haimovich, R. Blum, D. Chizhik, L. Cimini, and R. Valenzuela, "MIMO radar: An idea whose time has come," in Proc. IEEE Radar Conf., 2004, pp. 71-78.
  3. A. M. Haimovich, R. S. Blum, and L. J. Cimini, "MIMO radar with widely separated antennas," IEEE Signal Processing Magazine, 2008, pp. 116-129.
  4. J. Li and P. Stoica. "MIMO radar with collocated antennas," IEEE Signal Processing Magazine, 2007, pp. 106-114.
  5. D. W. Bliss and K. W. Forsythe, "Multiple-input multiple-output (MIMO) radar and imaging: degrees of freedom and resolution," Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on. IEEE, 2003, pp. 54-59
  6. ROBEY, Frank C., et al. "MIMO radar theory and experimental results," Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on. IEEE, 2004, pp. 300-304.
  7. J. Li and P. Stoica, "MIMO radar - diversity means superiority (invited)," Proc. 14th Annual Workshop on Adaptive Sensor Array Processing, MIT Lincoln Laboratory, Lexington, MA, 2006.
  8. L. Xu, J. Li, and P. Stoica, "Target detection and parameter estimation for MIMO radar systems," IEEE Trans. Aerospace Electron. Syst., 2008, pp. 927-939.
  9. J. Li, P. Stoica, L. Xu, and W. Roberts, "On parameter identifiability of MIMO radar," IEEE Signal Process. Lett., 2007, pp. 968-971.
  10. L. Xu, J. Li, and P. Stoica, "Target detection and parameter estimation for MIMO radar systems," IEEE Trans. Aerospace Electron. Syst., 2008, pp. 927-939.
  11. H. Wang, et al. "On parameter identifiability of MIMO radar with waveform diversity," Signal Processing, 2011, pp. 2057-2063.
  12. N. J Willis. "Bistatic Radar," SciTech Publishing, 2005.
  13. P. E. Howland. "Target tracking using televisionbased bistatic radar," IEE Proceedings-Radar, Sonar and Navigation, 1999, pp. 166-174
  14. M. C. Jackson. "The geometry of bistatic radar systems," IEE Proceedings F (Communications, Radar and Signal Processing), 1986, pp. 604-612.
  15. M. Jin, G. Liao, and J. Li. "Joint DOD and DOA estimation for bistatic MIMO radar," Signal Processing, 2009, pp. 244-251.
  16. H. Yan, J. Li, and G. Liao. "Multitarget identification and localization using bistatic MIMO radar systems," EURASIP Journal on Advances in Signal Processing, 2008.
  17. W.-D. Wirth. "Radar Techniques Using Array Antennas," vol. 10: IET, 2001.
  18. G. H. Golub, and F. Van Loan Charles. "Matrix computations," Vol. 3: JHU Press, 2012.
  19. Y. Gu and A. Leshem. "Robust adaptive beamforming based on interference covariance matrix reconstruction and steering vector estimation," IEEE Trans. Signal Processing, 2012, pp. 3881-3885.
  20. G. Fuhermann. "Transmit beamforming for MIMO radar systems using signal cross-correlation," Aerospace and Electronic Systems. IEEE Transactions on, 2008, pp. 171-186.