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一种改进的声纳浮标定位算法和TMA 问题
引用本文:李居伟,孙明太,徐以成.一种改进的声纳浮标定位算法和TMA 问题[J].兵工自动化,2011,30(10):34-37.
作者姓名:李居伟  孙明太  徐以成
作者单位:海军航空工程学院青岛分院,山东青岛,266041
摘    要:为在航空反潜作战中更加快速精确地测量目标运动要素,对目标定位算法进行改进,并提出基于卡尔曼滤波的目标运动分析方法。根据主动定向声纳浮标"距离和方位联合测量"的特点,给出一种更为直接的加权均值定位算法和定位误差计算方法。并在此基础上,提出了采用卡尔曼滤波器估计目标位置、航速、航向等运动参数的方法。最后采用蒙特卡罗仿真方法,统计分析了系统的误差性能。仿真结果表明,该方法具有较高的目标运动参数估计精度。

关 键 词:主动定向声纳浮标  距离和方位联合定位  目标运动分析  卡尔曼滤波
收稿时间:2013/1/28 0:00:00

An Improved Location Arithmetic for Achieve Directional Sonobuoy and Its TMA
Li Juwei,Sun Mingtai,Xu Yicheng.An Improved Location Arithmetic for Achieve Directional Sonobuoy and Its TMA[J].Ordnance Industry Automation,2011,30(10):34-37.
Authors:Li Juwei  Sun Mingtai  Xu Yicheng
Affiliation:(Qingdao Branch,Naval Aeronautical Engineering Academy,Qingdao 266041,China)
Abstract:In order to achieve undersea target movement elements rapidly and precisely for active directional sonobuoy,the location arithmetic was improved and a method of target motion analysis based on Kalman filter was given.According to the characteristic of range-bearing location,the weighted average location arithmetic and its location error were given.The computation complexity of online least squares iteration was efficaciously decreased by this arithmetic.Then,a target motion analysis method based on Kalman filter was given.The target position,velocity and course were estimated by this filter.Finally,the considerable precision was confirmed by the results of Monte Carlo simulation.
Keywords:active directional sonobuoy  range-bearing target location  target motion analysis  Kalman filter
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