| Towed Array Shape Estimation based on Kalman Filter Compensating the Sensor Bias |
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Geun Hwan Kim, Su Jin Choi, Chang Soo Ryu, Young Woo Ryu, Kyun Kyung Lee |
1Development of Electronics Engineering, Kyungpook National University
2Yeungnam University College of Science. & Technology
3The 6th Research and Development Institute, Agency for Defense Development |
| 센서 바이어스를 보상하는 칼만필터 기반의 예인 선배열 센서 형상 추정 기법 |
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김근환, 최수진, 류창수, 류영우, 이균경 |
1경북대학교 전자공학부
2영남이공대학교 전자정보계열
3국방과학연구소 제6기술연구본부 |
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| Abstract |
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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. |
| Key Words:
Towed Array Shape Estimation, Kalman Filter, Bias |
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