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

The Korean Institute of Electromagnetic Engineering and Science (한국전자파학회)
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DOD/DOA Estimation for Bistatic MIMO Radar Using 2-D Matrix Pencil Method

2차원 Matrix Pencil Method 기반의 바이스태틱 MIMO 레이더 표적 도래각 추정

  • Lee, Kang-In (Department of Electronic Convergence Engineering, Kwangwoon University) ;
  • Kang, Wonjune (Department of Electronic Convergence Engineering, Kwangwoon University) ;
  • Yang, Hoon-Gee (Department of Electronic Convergence Engineering, Kwangwoon University) ;
  • Chung, Wonzoo (Division of Computer and Communications Engineering, Korea University) ;
  • Kim, Jong Mann (Agency for Defense Development) ;
  • Chung, Young-Seek (Department of Electronic Convergence Engineering, Kwangwoon University)
  • 이강인 (광운대학교 전자융합공학과) ;
  • 강원준 (광운대학교 전자융합공학과) ;
  • 양훈기 (광운대학교 전자융합공학과) ;
  • 정원주 (고려대학교 컴퓨터통신공학부) ;
  • 김종만 (국방과학연구소) ;
  • 정용식 (광운대학교 전자융합공학과)
  • Received : 2014.05.08
  • Accepted : 2014.06.02
  • Published : 2014.07.31
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Abstract

In this paper, we apply the 2-D Matrix Pencil Method(MPM) to the estimation of the direction of arrival(DOA) of multiple signals of interest(SOIs) in bistatic MIMO radar. The 2-D MPM shows remarkable performance under a low SNR environment and low computational complexity to estimate the DOA of multiple SOIs. Also, it is possible to estimate the direction of departure(DOD) which is an angle from transmitter to target. To verify the proposed algorithm, we applied the proposed algorithm to a uniformly spaced linear array(ULA) and compared the RMSE(Root Mean Square Error) of DOA and DOD under the various SNR with those of the 2-D Capon algorithm.

본 논문에서는 바이스태틱 MIMO(Multi-Input Multi-Output) 레이더 시스템에서 다중 신호의 DOA(Direction of Arrival)의 추정을 위한 2차원 Matrix Pencil Method(MPM) 기반 알고리즘을 제안하였다. 2차원 MPM은 낮은 SNR 환경에서도 기존 알고리즘에 비해 적은 연산량으로 다수의 DOA 추정이 가능하고, 송신기에서의 표적 각도인 DOD(Direction of Departure)도 동시 추정이 가능하다. 본 알고리즘의 성능을 확인하기 위해 등간격 선형 배열구조의 MIMO 레이더 시스템에서 SNR에 따른 DOA 및 DOD의 RMSE(Root Mean Square Error)를 확인하였고, 2차원 Capon 기법과 비교하였다.

Keywords

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