波束赋形
卡尔曼滤波器
声纳
传感器阵列
航向(导航)
声学
扩展卡尔曼滤波器
旋转(数学)
滤波器(信号处理)
声纳信号处理
计算机科学
信号处理
工程类
人工智能
电子工程
计算机视觉
物理
数字信号处理
航空航天工程
机器学习
作者
Geun Hwan Kim,Su Jin Choi,Chang Soo Ryu,Young Woo Ryu,Kyun Kyung Lee
出处
期刊:Journal of the Korea Institute of Military Science and Technology
[The Korea Institute of Military Science and Technology]
日期:2016-04-05
卷期号:19 (2): 155-162
被引量:1
标识
DOI:10.9766/kimst.2016.19.2.155
摘要
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.
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