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허용석(Yong Surk Hur),김인익(In Ig Kim),박상배(Sang Bae Park),이균경(Kyun Kyung Lee) 대한전자공학회 1992 대한전자공학회 학술대회 Vol.1992 No.10
Bearing information of target is used critically for target tracking in underwater environment. In passive sonar, target bearing measurements are obtained by processing the acoustic signal emanating from the target. PDA tracking algorithm is usually applied in this case since bearing measurements have several peaks due to interference with other acoustic sources or reflections from underwater media. In this paper, we propose a modified PDA algorithm adopting new probabilistic distributions of the number, position, and amplitude of peaks based on the analysis of real data. This algorithm is tested on real and artificially generated data. The computer simulation result shows improvement of the tracking performance.