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http://dx.doi.org/10.9766/KIMST.2016.19.2.155

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

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)
Publication Information
Journal of the Korea Institute of Military Science and Technology / v.19, no.2, 2016 , pp. 155-162 More about this Journal
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
Towed Array Shape Estimation; Kalman Filter; Bias;
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