Journal of the Korea Institute of Military Science and Technology (한국군사과학기술학회지)

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
권호 표지
DOI QR코드

DOI QR Code

Towed Array Shape Estimation based on Kalman Filter Compensating the Sensor Bias

센서 바이어스를 보상하는 칼만필터 기반의 예인 선배열 센서 형상 추정 기법

  • Kim, Geun Hwan (Development of Electronics Engineering, Kyungpook National University) ;
  • Choi, Su Jin (Development of Electronics Engineering, Kyungpook National University) ;
  • Ryu, Chang Soo (Yeungnam University College of Science. & Technology) ;
  • Ryu, Young Woo (The 6th Research and Development Institute, Agency for Defense Development) ;
  • Lee, Kyun Kyung (Development of Electronics Engineering, Kyungpook National University)
  • 김근환 (경북대학교 전자공학부) ;
  • 최수진 (경북대학교 전자공학부) ;
  • 류창수 (영남이공대학교 전자정보계열) ;
  • 류영우 (국방과학연구소 제6기술연구본부) ;
  • 이균경 (경북대학교 전자공학부)
  • Received : 2015.08.28
  • Accepted : 2016.02.26
  • Published : 2016.04.05
Download PDF
⟨ Previous Next ⟩

Abstract

TASS(Towed Array Sonar System) is a sonar system which tows the sensor array behind a platform. Array shape is generally assumed to be a straight line. But the array shape is often distorted by oceanic current or platform maneuvering which causes the performance loss of signal processing method like beamforming. So array shape estimation methods are needed. Typically the method based on Kalman filter using heading sensor is used. In practice, the measurement is corrupted by biases which are caused by rotation of the tow cable, varying magnetic fields and slowly varying stresses in the mechanical construction. Although they can't be calibrated but can be estimated. In this paper, we suggest the array shape estimation method based on Kalman filter compensating the sensor biases.

Keywords

References

  1. Douglas A. Gray, "Towed Array Shape Estimation Using Kalman Filter - Theoretical Models," IEEE Journal of Oceanic Engineering Vol. 18, No. 4, pp. 543-556, 1993. 10. https://doi.org/10.1109/48.262304
  2. John L. Riley, "Towed Array Shape Estimation Using Kalman Filter - Experimental Investigation," IEEE Journal of Oceanic Engineering Vol. 18, No. 4, pp. 572-581, 1993. 10. https://doi.org/10.1109/48.262307
  3. D. A. Gray, Acoustic Signal Processing for Ocean Exploration, Springer Netherlands, pp. 231-236, 1993.
  4. M. P. Paidoussis, "Dynamics of Flexible Slender Cylinders in Axial Flow Part 1. Theory," Journal of Fluid Mechanics Vol. 26, No. 4, pp. 717-736, 1966. https://doi.org/10.1017/S0022112066001484
  5. M. P. Paidoussis, "Dynamics of Flexible Slender Cylinders in Axial Flow Part 2: Experiments," Journal of Fluid Mechanics Vol. 26, No. 4, pp. 737-751, 1966. https://doi.org/10.1017/S0022112066001496
  6. Greg Welch and Gary Bishop, "An Introduction to the Kalman Filter," University of North Carolina: Chapel Hill, North Carolina, 2006.