한국전자파학회논문지 (The Journal of Korean Institute of Electromagnetic Engineering and Science)

  • 제28권10호
  • /
  • Pages.819-824
  • /
  • 2017
  • /
  • 1226-3133(pISSN)
  • /
  • 2288-226X(eISSN)
한국전자파학회 (The Korean Institute of Electromagnetic Engineering and Science)
권호 표지
DOI QR코드

DOI QR Code

반복적 연산을 이용하는 Distributed MIMO 레이다 시스템의 위치 추정 기법

Iterative Target Localization Method for Distributed MIMO Radar System

  • 신혁수 (고려대학교 컴퓨터 전파통신공학과) ;
  • 정용식 (광운대학교 전파공학과) ;
  • 양훈기 (광운대학교 전파공학과) ;
  • 김종만 (국방과학연구소) ;
  • 정원주 (고려대학교 컴퓨터 전파통신공학과)
  • Shin, Hyuksoo (Department of Computer and Communication Engineering, Korea University) ;
  • Chung, Young-Seek (Department of Electronics Convergence Engineering, Kwangwoon University) ;
  • Yang, Hoon-Gee (Department of Electronics Convergence Engineering, Kwangwoon University) ;
  • Kim, Jong-mann (Agency of Defence Development) ;
  • Chung, Wonzoo (Department of Computer and Communication Engineering, Korea University)
  • 투고 : 2017.09.04
  • 심사 : 2017.10.13
  • 발행 : 2017.10.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 논문은 distributed Multi-input Multi-output(MIMO) 레이다 시스템에서 다수의 송 수신기 조합으로부터 얻어진 Time of Arrival(ToA) 정보들을 이용하여 표적의 위치를 추정하는 기법을 제안한다. 제안된 기법은 테일러 선형 근사를 반복적으로 수행함으로써 임의의 초기 값으로부터 표적의 위치를 추정한다. 시뮬레이션 결과는 제안된 알고리즘이 기존 표적 위치 추정 기법들보다 더 향상된, 더 나아가 Cramer-Rao Lower Bound(CRLB)에 도달하는 평균제곱오차(MSE) 성능을 가지는 것을 보여준다.

This paper presents a target localization scheme for distributed Multi-input Multi-output(MIMO) radar system using ToA measurements obtained from multiple transmitter and receiver pairs. The proposed method can locate the target from an arbitrary initial point by iteratively finding the Taylor linear approximation equation. The simulation results show that proposed method achieves the better mean square error(MSE) performance than the existing target localization methods, and furthermore, attains Cramer-Rao Lower Bound(CRLB).

키워드

참고문헌

  1. J. Li, P. Stoica, MIMO Radar Signal Processing, Wiley, 2008.
  2. A. M. Haimovich, A. E. L. Ind. Lansdale, R. S. Blum, and L. J. Cimini, "MIMO radar with widely separated antennas", IEEE Signal Processing Magazine, vol. 25, no. 1, pp. 116-129, Jan. 2008. https://doi.org/10.1109/MSP.2008.4408448
  3. E. Fishler, A. Haimovich, R. Blum, L. Cimini, D. Chizhik, and R. Valenzuela, "Spatial diversity in radars models and detection performance", IEEE Trans. Signal Processing, vol. 54, pp. 823-838, Mar. 2006. https://doi.org/10.1109/TSP.2005.862813
  4. N. Lehmann, A. M. Haimovich, R. S. Blum, and L. Cimini, "MIMO-radar application to moving target detection in homogenous clutter", Adaptive Sensor Array Processing Workshop at MIT Lincoln Laboratory, Jul. 2006.
  5. H. Godrich, A. M. Haimovich, and R. S. Blum, "Target localisation techniques and tools for multiple-input multiple-output radar", IET Radar, Sonar and Navigation, vol. 3, no. 4, pp. 314-327, Aug. 2009. https://doi.org/10.1049/iet-rsn.2008.0141
  6. H. Godrich, A. M. Haimovich, and R. S. Blum, "Target localization accuracy gain in MIMO radar-based systems", IEEE Trans. Inf. Theory, vol. 56, no. 6, pp. 2783-2803, Jun. 2010. https://doi.org/10.1109/TIT.2010.2046246
  7. M. Dianat, M. R. Taban, J. Dianat, and V. Sedighi, "Target localization using least squares estimation for MIMO radars with widely separated antennas", IEEE Trans. Aerosp. Electron. Syst., vol. 49, no. 4, pp. 2730-2741, Oct. 2013. https://doi.org/10.1109/TAES.2013.6621849
  8. A. Noroozi, M. A. Sebt, "Target localization from bistatic range measurements in multi-transmitter multi-receiver passive radar", IEEE Signal Processing Letters, vol. 22, no. 12, pp. 2445-2449, Dec. 2015. https://doi.org/10.1109/LSP.2015.2491961
  9. A. Noroozi, M. A. Sebt, "Weighted least squares target location estimation in multi-transmitter multi-receiver passive radar using bistatic range measurements", IET Radar, Sonar & Navigation, vol. 6, no. 10, pp. 1088-1097, Jun. 2016.
  10. S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, Prentice-Hall, 1993.