中文摘要：

密集假目标干扰可降低目标检测概率,对雷达目标跟踪同时产生压制性和欺骗性效果。针对此问题,提出了基于主被动雷达数据融合的抗密集假目标干扰技术。首先,对受到密集假目标干扰的主动雷达量测数据进行预处理;然后对预处理后的数据和被动雷达量测数据进行关联处理,保留相互关联的量测对,并利用最小二乘法计算出等价量测;最后用等价量测对目标跟踪。该技术充分利用主被动雷达各自的优势,消除密集假目标的影响,实现对真实目标的稳定跟踪。仿真结果验证了该技术的有效性。

英文摘要：

Dense false-target jamming can reduce the probability of target detection, and produce the oppressive and deceptive effect on radar target tracking. Aiming at the problem, a technique against dense false-target jamming based active and passive radars data fusion is proposed. Firstly, the measurement data from active radar jammed by dense false-target jamming is pre-processed. Then, associated disposal is made to the pre-processed data and measurement data from passive radar. The associated measurement pairs are kept, and the equivalent measurements are obtained using the least square method. Finally, target tracking is carried out by using the equivalent measurements. The technique makes full use of the advantages of active and passive radars, eliminates the influence of dense false targets, and realizes true-target tracking. The technique is also applicable to the case of no jamming. Simulation results verify the validity of the proposed technique.