A Study of New Data Association Method for Active Sonar Tracking and Track Initiation

능동형 소나의 표적추적 및 트랙초기화를 위한 새로운 자료결합 기법 연구

  • Received : 2010.06.25
  • Accepted : 2010.08.20
  • Published : 2010.10.05

Abstract

In this paper, we propose new data association method called the Highest Probability Data Association(HPDA) using a Signal Amplitude information ordering method applied to active sonar tracking and track initiation in cluttered environment. The performance of HPDA is tested in a series of Monte Carlo simulations runs and is compared with the existing Probabilistic Data Association with Amplitude Information(PDA-AI) for active sonar tracking in clutter. The proposed HPDA algorithm is also applied to automatic track initiation in clutter and its performance is compared with the existing IPDA-AI algorithm.

Keywords

References

  1. X. R. Li and Y. Bar-shalom, "Tracking in Clutter with Nearest Neighbor Filter : Analysis and Performa Nce", IEEE Trans. on AES, AES-32, July 1996.
  2. X. R. Li, "Tracking in Clutter with Strongest Neighbor Measurement-Part I : Theoretical Analysis", IEEE Trans. on AC, AC-43, No. 11, November, 1998.
  3. Y. Bar-shalom and T. E. Fortman, "Tracking and Data Association", Academic Press, INC, 1988.
  4. D. Lerro and Y. Bar-shalom, "Interacting Multiple Model Tracking with Target Amplitude Feature", IEEE Trans. on AES, Vol. 29, April 1993.
  5. D. Musicki, R. Evans and S. Stankovic, "Integrat ed Probabilistic Data Association", IEEE Trans. on AC, Vol. 39, No. 6, June 1994.
  6. T. L. Song and J. Y. Ahn and C. Park, "A Suboptimal Filter Design with Pseudo-measurements for tArget Tracking", IEEE Trans. on AES, Vol. 24, pp. 28-39, 1998.