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

The Korean Institute of Electromagnetic Engineering and Science (한국전자파학회)
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Closed-Form Expression of Approximate ML DOA Estimates in Bistatic MIMO Radar System

바이스태틱 MIMO 레이다 시스템에 적용되는 ML 도래각 추정 알고리즘의 근사 추정치에 대한 Closed-Form 표현

  • Paik, Ji Woong (Information and Communication Engineering, Sejong University) ;
  • Kim, Jong-Mann (Agency for Defense Development) ;
  • Lee, Joon-Ho (Information and Communication Engineering, Sejong University)
  • 백지웅 (세종대학교 정보통신공학과) ;
  • 김종만 (국방과학연구소) ;
  • 이준호 (세종대학교 정보통신공학과)
  • Received : 2017.08.30
  • Accepted : 2017.11.08
  • Published : 2017.11.30
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Abstract

Recently, for detection of low-RCS targets, bistatic radar and multistatic radar have been widely employed. In this paper, we present the process of deriving the received signal modeling of the bistatic MIMO radar system and deals with the performance analysis of applying the bistatic signal to the ML arrival angle estimation algorithm. In case of the ML algorithm, as the number of the targets increases, azimuth search dimension for DOA estimation also increases, which implies that the ML algorithm for multiple targets is computationally very intensive. To solve this problem a closed-form expression of estimation error is presented for performance analysis of the algorithm.

RCS 기술의 발달과 레이다 기술의 발달에 따라 바이스태틱, 멀티스태틱 레이다 시스템이 많이 사용되고 있다. 본 논문은 바이스태틱 MIMO 레이다 시스템의 수신신호 모델링 유도 과정을 보이고, ML 도래각 추정 알고리즘에 바이스태틱 신호를 적용했을 때의 성능 분석을 다룬다. ML 도래각 추정 알고리즘인 경우, 신호원의 개수에 따라 도래각 추정에 요구되는 탐색 차원 또한 증가하게 되어 많은 계산량을 요구한다. 해당 문제점을 해소하기 위해 본 논문은 해당 알고리즘의 추정오차를 closed-form 표현으로 유도함으로써 별도의 도래각 추정 없이 바이스태틱 환경의 수신신호에 대한 ML 알고리즘의 성능분석이 가능함을 보인다.

Keywords

References

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