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
目标运动要素作为水下作战的重要信息,其解算结果会对目标命中概率产生较大影响,进而影响打击决策.目前传统的水面舰反潜目标运动要素解算方法信息来源为主动声呐.由于主动声呐采用固定送数周期,在连续跟踪过程部分时间段目标信息存在空隙,导致目标运动要素解算结果误差大、收敛速度慢.为了更加快速、准确地获得目标运动要素,文中将被动声呐观测信息加入到滤波过程中,使用无迹卡尔曼滤波方法对只采用主动声呐探测信息方式及主被动声呐联合探测信息方式进行仿真研究,并对结果进行对比分析.仿真结果表明,在其他条件相同的情况下,与传统方法相比,文中方法可明显提高收敛精度和速度,使速度解算精度平均提升 33.55%,方位角解算精度平均提升 38.99%,航向解算精度平均提升 35.29%,验证了该方法的有效性.
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引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据