전자공학회논문지 IE

대한전자공학회 (The Institute of Electronics and Information Engineers)
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측정치 융합에 기반을 둔 다중표적 방위각 추적 알고리즘

Mutiple Target Angle Tracking Algorithm Based on measurement Fusion

  • 류창수 (영남이공대학 전자정보계열)
  • Ryu, Chang-Soo (Div. of Electronics & Information Engineering, Yeungnam College of Science & Technology)
  • 발행 : 2006.09.25
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초록

Ryu 등은 배열센서 출력을 이용하여 추정한 신호부공간으로부터 표적의 방위각 측정치를 구하고, 이를 이용하여 표적의 방위각 궤적을 추적하는 알고리즘을 제안하였다. Ryu 등이 제안한 방위각 추적 알고리즘은 별도의 데이터연관 필터가 필요 없으며 구조가 간단하다는 장점을 가지고 있다. Ryu의 방위각 추적 알고리즘에서는 신호부공간이 센서출력에 의해서 계속 쇄신되고 있지만 표본시간의 신호부공간에서 구한 측정치만을 사용하고 있으며, 신호대잡음비가 낮은 경우에는 Ryu 알고리즘의 추적 성능이 매우 급격히 저하되는 문제점을 가지고 있다. 본 논문에서는 Ryu 알고리즘의 방위각 추적 성능을 개선하기 위하여 표본시간의 신호부공간에서 구한 측정치뿐만 아니라 표본시간에 인접한 신호부공간으로부터 구한 측정치까지 사용할 수 있도록 ML(Maximum Lekelihood)에 기반을 둔 측정치 융합 기법을 제안한다. 그리고 제안한 측정치 융합 기법을 이용하여 Ryu 알고리즘과 같은 구조를 가지는 새로운 방위각 추적 알고리즘을 제안한다. 제안한 방위각 추적 알고리즘은 Ryu 알고리즘의 장점을 그대로 유지하면서 Ryu 알고리즘보다 향상된 추적 성능을 가진다.

Ryu et al. proposed a multiple target angle tracking algorithm using the angular measurement obtained from the signal subspace estimated by the output of sensor array. Ryu's algorithm has good features that it has no data association problem and simple structure. But its performance is seriously degraded in the low signal-to-noise ratio, and it uses the angular measurement obtained from the signal subspace of sampling time, even though the signal subspace is continuously updated by the output of sensor array. For improving the tracking performance of Ryu's algorithm, a measurement fusion method is derived based on ML(Maximum Likelihood) in this paper, and it admits us to use the angular measurements obtained form the adjacent signal subspaces as well as the signal subspace of sampling time. The new target angle tracking algorithm is proposed using the derived measurement fusion method. The proposed algorithm has a better tracking performance than that of Ryu's algorithm and it sustains the good features of Ryu's algorithm.

키워드

참고문헌

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