A study on data association based on multiple model for improving target tracking performance in maneuvering interval in bistatic sonar environments

Seung-Hyo Park; Taek-Lyul Song; Seung-Ho Lee

doi:10.7776/2017.36.3.202

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A study on data association based on multiple model for improving target tracking performance in maneuvering interval in bistatic sonar environments 양상태 소나를 운용하는 자함이 기동하는 구간에서 추적성능향상을 위한 다수모델기반의 자료결합기법 연구

31 May 2017. pp. 202-210

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Abstract

For the target tracking in cluttered environment using a bistatic sonar whose transmitter and receiver are separately positioned, it is necessary to use data association algorithm via applying a proper measurement modelling to the bistatic sonar. The measurements obtained from the interval of ownship’s maneuver have an increased error due to uncertainty of the position of transmitter and receiver. Using the measurements from this interval results in poor target tracking performance. In this paper, an improved tracking performance for the proposed data association based multiple model algorithm is validated by a monte carlo simulation.

Keywords

Bistatic sonar error model

Data association

IMM-IPDA(Interacting Multiple Model-Integrated Probabilistic Data Association)

Monte carlo simulation

송신기와 수신기가 분리되어 있는 양상태 소나를 자함에 설치하여 운용하고 다수의 클러터가 존재하는 환경 에서 표적추적을 수행하기 위해서는 양상태 소나에 알맞은 측정치 모델링이 적용된 자료결합 알고리듬이 요구된다. 자함이 기동하는 구간에서는 송신기와 수신기의 위치가 많이 흔들림에 따라 측정치에 오차가 많이 커지게 되어, 이 구 간에서 얻은 측정치정보를 이용하면 추적성능저하가 생기게 된다. 본 논문에서는 공정잡음이 다른 다수모델기반의 자료결합 알고리듬인 IMM-IPDA(Interacting Multiple Model-Integrated Probabilistic Data Association)를 사용하였 고, 몬테칼로 시뮬레이션을 통해 추적성능향상을 확인하였다.

키워드

양상태 소나

자료결합 알고리듬

다수모델기반의 자료결합 알고리듬

몬테칼로 시뮬레이션

References

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T. Kirubarajan and Y. Bar-Shalom, “Probabilistic data association techniques for target tracking in clutter,” Proceedings of The IEEE. 92, 536-557 (2004).

D. Musicki, R. Evans, and S. Stankovic, “Integrated probabilistic data association (IPDA),” Proceeding of the 31^st Conference on Decision and Control, Tucson, Artzone, 3796-3798 (1992).

D. Musicki, R. Evans, and S. Stankovic, “Integrated probabilistic data association,” IEEE Transactions on Automatic Control, 39, 1237-1241 (1994).

H. Blom and Y. Bar-Shalom, “The interacting multiple model algorithm for systems with markovian switching coefficients,” IEEE Trans. Automatic Control, 33, 780-783 (1988).

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Information

Publisher :The Acoustical Society of Korea
Publisher(Ko) :한국음향학회
Journal Title :The Journal of the Acoustical Society of Korea
Journal Title(Ko) :한국음향학회지
Volume : 36
No :3
Pages :202-210
Received Date : 2017-03-10
Accepted Date : 2017-05-30
DOI :https://doi.org/10.7776/2017.36.3.202

The Journal of the Acoustical Society of KoreaISSN:1225-4428(Print) 2287-3775(Online)한국음향학회

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