基于动力学守恒定律的弹道目标关联方法

Ballistic target association method based on dynamic conservation law

中段伴飞突防造成的各种有源或无源的弹道群目标会给雷达跟踪系统带来极大的挑战,导致其跟踪非本体实体目标或电假目标,从而出现关联错误的情况。中段实体弹道目标满足动力学守恒定律,可以充分利用该特性来改善跟踪系统的数据关联机制,因此提出一种基于动力学守恒定律的弹道目标概率数据关联(probability data association,PDA)方法,即在传统关联门筛选出有效量测的基础上,对动量矩和机械能进行联合统计检验,进一步剔除电假目标点迹或其他错误量测,并使用动量矩和机械能对加权关联概率进行修正。蒙特卡罗仿真验证了该方法的有效性。仿真结果表明,与传统PDA方法相比,所提方法能够有效抑制有源距离欺骗干扰和杂波的影响,提高跟踪精度。

Various active or passive ballistic group targets caused by midcourse accompanying flying penetration will bring great challenges to the radar tracking system,causing it to track other entity targets or electronic false targets,which results in association errors.The midcourse entity ballistic target satisfies dynamic conservation law,which can be utilized to improve the data association method of the tracking system.Therefore,a probabilistic data association(PDA)method for ballistic targets based on dynamic conservation law is proposed.On the basis of screening out validated measurements by traditional association gate,the momentum moment and mechanical energy are jointly statistically tested to further eliminate the measurements of electronic false targets or other association errors,and then the momentum moment and mechanical energy are used to correct the weighted association probability.The effectiveness of the proposed method is verified by Monte Carlo simulation.The simulation results show that compared with the traditional PDA method,the proposed method can effectively suppress the influence of active range deception jamming and clutter and thus improve the tracking accuracy.