水面舰艇对来袭鱼雷联合定位方法

Joint Target Localization Method for Warships Facing Incoming Torpedoes

针对传统舰载声呐以及拖曳阵声呐在进行鱼雷预警时缺失鱼雷距离、位置信息,导致鱼雷防御器材效能较低的问题,开展了水面舰艇对来袭鱼雷联合定位方法研究。针对来袭鱼雷方位估计信息误差大、存在野值等问题,提出基于局部加权线性回归的测向信息预处理方法,降低了目标方位估计精度不足引入的定位误差,结合典型鱼雷攻击弹道运动特性,利用卡尔曼滤波算法,建立了目标状态解算模型。同时针对水声信号收发不同时、信号处理延迟等问题,提出时空关联算法,形成稳健声呐联合定位算法。该方法在增强舰船联合作战指挥系统的鱼雷防御能力,维护舰艇安全等方面具有广泛的应用前景。

Existing shipborne sonar or tow array sonar might influence the effectiveness of torpedo countermeasures,compromising torpedo localization information during torpedo alarming.To address this problem,a joint target localizationmethod is proposed for incoming torpedoes.First,a preprocessing method based on local weighted linear regression isinvestigated to resolve issues such as large error and outliers in the bearing estimation information of incoming torpedoes.Thismethod can be used to lower the localization error by improving the torpedo bearing estimation accuracy.In combination withtypical torpedo attacking trajectory analysis,a target state solution model is then established using a Kalman filteringalgorithm.A space-time correlation algorithm is used for solving the problem caused by unsynchronized underwater acousticsignals and delayed information processing.Finally,a robust joint localization approach for shipborne sonar is established.This approach has reasonably wide applications,such as in torpedo defense capacity reinforcement of warship joint combatcommand systems and security assurance for warships.