Journal of Advanced Navigation Technology (한국항행학회논문지)

The Korean Navigation Institute (한국항행학회)
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Compressive Sensing for MIMO Radar Systems with Uniform Linear Arrays

균일한 선형 배열의 다중 입출력 레이더 시스템을 위한 압축 센싱

  • Lim, Jong-Tae (School of Electronic & Electrical Engineering of Hongik University) ;
  • Yoo, Do-Sik (School of Electronic & Electrical Engineering of Hongik University)
  • 임종태 (홍익대학교 전기전자공학부) ;
  • 유도식 (홍익대학교 전기전자공학부)
  • Received : 2010.01.18
  • Accepted : 2010.02.28
  • Published : 2010.02.28
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Abstract

Compressive Sensing (CS) has been widely studied as a promising technique in many applications. The CS theory tells that a signal that is known to be sparse in a specific basis can be reconstructed using convex optimization from far fewer samples than traditional methods use. In this paper, we apply CS technique to Multiple-input multiple-output (MIMO) radar systems which employ uniform linear arrays (ULA). Especially, we investigate the problem of finding the direction-of-arrival (DOA) using CS technique and compare the performance with the conventional adaptive MIMO techniques. The results suggest the CS method can provide the similar performance with far fewer snapshots than the conventional adaptive techniques.

압축 센싱 (Compressive Sensing, CS)은 많은 응용분야에서 유망한 기술로 널리 연구되고 있다. 압축 센싱 이론에 의하면 어떤 특별한 기저에서 성긴 신호 (sparse signal)이라는 것이 알려졌다면 이 신호는 전통적인 방법이 사용하는 샘플 수보다 훨씬 적은 샘플로 최적화 과정을 통해 복원이 가능하다는 것이다. 본 논문에서는 이러한 압축 센싱 기술을 균일한 선형 배열로 구성된 다중 입출력 레이더 시스템에 적용하고자 한다. 특별히 압축 센싱 기술을 사용하여 DOA (direction-of-arrival)을 찾는 문제를 고찰하고 그 성능을 전통적인 적응형 다중 입출력 기법의 성능과 비교한다. 모의 실험을 통해 압축 센싱 방법은 전통적인 적응형 다중 입출력 기법에 비해 훨씬 적은 샘플로 비슷한 성능을 보임을 확인할 수 있었다.

Keywords

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