Journal of the Korean Society of Industry Convergence (한국산업융합학회 논문집)

The Korean Society of Industry Convergence (한국산업융합학회)
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Multiple Target DOA Tracking Algorithm With Measurement Fusion Based on ML

ML 기법에 기반을 둔 측정치 융합기법을 가진 다중표적 방위각 추적 알고리즘

  • Ryu, Chang-Soo (Div. of Electronics & Information Engineering, Yeungnam College of Science & Technology) ;
  • Park, Ju-Tae (Div. of Electronics & Information Engineering, Yeungnam College of Science & Technology) ;
  • Choi, Sung-Un (Div. of Electronics & Information Engineering, Yeungnam College of Science & Technology)
  • 류창수 (영남이공대학 전자정보계열) ;
  • 박주태 (영남이공대학 전자정보계열) ;
  • 최성운 (영남이공대학 전자정보계열)
  • Received : 2003.04.23
  • Accepted : 2003.08.20
  • Published : 2003.08.31
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Abstract

Recently, Ryu et al. proposed a multiple target DOA tracking algorithm, which 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. In this paper, a measurement fusion method is presented based on ML(Maximum Likelihood), and the new DOA tracking algorithm is proposed by incorporating the presented fusion method into Ryu's algorithm. The proposed algorithm has a better tracking performance than that of Ryu's algorithm, and it sustains the good features of Ryu's algorithm.

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