Matched-target Model Inversion for the Position Estimation of Moving Targets

정합-표적모델 역산을 이용한 기동 표적의 위치 추정

  • Published : 2003.10.01

Abstract

A matched-target model inversion method was developed for a passive sonar to estimate the position of moving targets. Based on the well known matched-field processing in underwater acoustics, the method finds target position by matching the measured target directions and frequencies with the corresponding values of the proposed target model. For the efficient and accurate estimations, the parameter searching was accomplished using a hybrid optimizing method, which first starts with a global optimization such as generic algorithm or simulated annealing then applies a local optimization of a simple down hill algorithm. The suggested method was testified using simulations for three different moving scenarios. The simulation results showed that the method is robust in convergence, even under the situation of over 5 times standard deviation of Gaussian distribution of measured error, and is practical in calculation time as well.

수동 소나를 이용하여 기동 표적의 위치를 추정하는 정합-표적모델 역산 기법을 개발하였다. 본 기법은 수중음향학 분야에서 널리 사용되는 정합장 역산 방법을 이용하여 관측으로부터 얻어지는 방위와 주파수를 표적모델에 의해 계산되는 값과 정합 시킴으로써 표적의 위치를 파악한다. 효율성과 정확성을 향상시키기 위하여 변수의 탐색 방식은 혼성 최적화 기법을 이용하였는데 일차적으로 광역 최적화 기법으로 알려진 유전자 기법이나 모사 담금질 기법을 적용한 후 단순 비탈 국부최적화 기법을 순차적으로 적용하였다. 제안 기법의 성능 검증을 위하여 3가지의 기동 시나리오에 대하여 시뮬레이션을 실시하였다. 검증 결과 가우시안 확률분포를 갖는 측정오차가 5σ를 가지는 경우에도 견실한 수렴을 보여주었으며 계산 시간면에서도 실용적 인 것으로 밝혀졌다.

Keywords

References

  1. IEEE Trans. Aero. Electro. Syst. v.17 Observability criteria for bearings-only target motion analysis S.C.Nardon;V.J.Aidala https://doi.org/10.1109/TAES.1981.309141
  2. IEEE Trans. Aero. Electro. Syst. v.21 Observability requirements for three dimensional tracking via angle measurements S.E.Hammel;V.J.Aidala https://doi.org/10.1109/TAES.1985.310617
  3. IEEE Trans. Automatic Control v.30 A stochastic analysis of a modified gain extended Kalman filter with applications to estimation with bearings-only measurements T.L.Song;J.L.Speter https://doi.org/10.1109/TAC.1985.1103821
  4. IEEE, CH1972-9/83/0000-0050 Recursive versus batch processing algorithms bearing-only tracking S.E.Hammel;V.J.Aidala;K.F.Gong;A.G.Lindgren
  5. J. Acoust. Soc. Am. v.94 A hybrid target motion analysis/matched-field processing localization method J.A.Fawcett;B.H.Mandara https://doi.org/10.1121/1.408164
  6. IEEE J. Ocean. Eng. v.16 no.2 Detection and localization of weak targets by space-time integration B.H.Maranda;J.A.Fawcett https://doi.org/10.1109/48.84135
  7. J. Acoust. Soc. v.59 Use of calculated sound fields and matched-field detection to locate sound sources in shallow water H.P.Buker https://doi.org/10.1121/1.380872
  8. World Scientific Matched field processing for underwater acoustics A.Tolstoy
  9. IEEE J.Ocean. Eng. v.18 An Overview of matched matched field methods in ocean acoustics A.B.Baggeroer;W.A.Kuperman;P.N.Mikhalevsky https://doi.org/10.1109/48.262292
  10. J. Acoust. Soc. Am. v.102 Inversion of bottom/subbottom statistical parameters from acoustic backscatter data A.Turgul https://doi.org/10.1121/1.419954
  11. IEEE Transaction on Systems, Man, and Cybernetics v.28 no.2 A hybrid approach to modeling metabolic systems using a genetic algorithm and simplex method J.Yen;J.C.Liao;B.Lee;D.Randolph
  12. J. Acoust. Soc. Am. v.105 no.6 Geoacoustic inversion via local, global, and hybrid algorithms M.R.Fallat;S.E.Dosso https://doi.org/10.1121/1.424651
  13. IEEE J.Ocean. Eng. v.24 no.3 A hybrid simplex genetic algorithm for estimating geoacoustic parameters using matched-field inversion M.Musil;M.J.Wilmut;N.R.Chapman https://doi.org/10.1109/48.775297
  14. J. Acoust. Soc. Am. v.106 no.6 Range-dependent matched-field inversion of SwellEX-96 data using the downhill simplex algorithm M.Musil;N.R.Chapman;M.J.Wilmut https://doi.org/10.1121/1.428180
  15. IEEE J.Ocean. Eng. v.26 no.3 An adaptive-hybrid algorithm for geoacoustic inversion S.E.Dosso;M.J.Wilmut;A.S.Lapinski https://doi.org/10.1109/48.946507
  16. Multitone matched-field processing in SWellEX-1. NCCOSC. TD-2720 P.W.Schey;N.O.Booth
  17. IEEE Trans. Aero. Electro. Syst. v.32 no.4 Observability in passive target motion analysis C.Jauffret;D.Pillon https://doi.org/10.1109/7.543850
  18. 저주파 예인탐기에 적합한 다중표적추적에 의한 표적기동 분석기법 성능 향상 연구 송택렬;임영택;김국민;최성호
  19. 표적 특징 추정정보 처리에 의한 추적성능 향상 기법 연구 이균경;박상배;이수형;이철목
  20. J. Mathl. Comput. Modeling v.12 Very fast simulated re-annealing L.Ingber https://doi.org/10.1016/0895-7177(89)90202-1
  21. Polish Journal Control and Cybernetics Adaptive simulated annealing (ASA): Lessons learned L.Ingber
  22. Integrated Combat Management Systems for Submariness-ATLAS Combat System ISUS 90-61, AN-7061-A-061-SSS STN ATLAS ELEKTRONIK