水下无人系统学报2024，Vol.32Issue(2)：354-361,8.DOI:10.11993/j.issn.2096-3920.2023-0045
基于主被动联合工作声呐探测信息的UKF目标运动要素解算方法
Calculation Method for UKF Target Motion Elements Based on Detection Information of Active and Passive Sonars
张洪瑞 1苏骏 2李谦 1李斌 1寇小明1
作者信息
- 1. 中国船舶集团有限公司第七〇五研究所,陕西西安,710077
- 2. 西北工业大学,陕西西安,710077
- 折叠
摘要
Abstract
The target motion element is important information in anti-submarine warfare,and its calculation results have a great influence on the hitting probability of the target,thus affecting combat decision-making.At present,active sonar is the main source of information in the calculation method for target motion elements in anti-submarine warfare of surface ships.However,active sonar uses a fixed number of sending periods,and there are gaps in the target information during the continuous tracking process.As a result,there are large errors and slow convergence in the calculation results of the target motion elements.In order to obtain the target motion elements more quickly and accurately,the detection information of passive sonar was added to the filtering process.The unscented Kalman filter(UKF)method was used to simulate the information detection methods using only active sonar and both active and passive sonars,and the results were compared.The simulation results show that under the same conditions,the proposed method can significantly improve the convergence accuracy and speed compared with the traditional method.It can improve the calculation accuracy of speed,azimuth,and heading angle by 33.55%,38.99%,and 35.29%on average,verifying its effectiveness.关键词
水下作战/目标运动要素/无迹卡尔曼滤波/主动声呐/被动声呐Key words
underwater warfare/target motion element/unscented Kalman filter/active sonar/passive sonar分类
军事科技引用本文复制引用
张洪瑞,苏骏,李谦,李斌,寇小明..基于主被动联合工作声呐探测信息的UKF目标运动要素解算方法[J].水下无人系统学报,2024,32(2):354-361,8.
