雷达有源空射诱饵(MALD)通过与目标协同伴飞，形成波束内的不可分辨多目标，引起接收回波混叠和观测耦合，导致测量偏差，致使常规跟踪处理失效。该文详细分析末制导有源诱饵的干扰形式及特性，推导了非理想采样条件下的不可分辨协同多目标信号模型。基于干扰存在性检测信息，结合干扰条件下的接收回波观测及其似然函数特征，采用粒子跟踪滤波直接对和差通道数据进行处理，利用粒子在状态空间中的传播和递推近似目标和诱饵的联合状态条件概率密度，有效绕开单个个体的观测提取、参数测量以及数据关联过程，实现了不可分辨目标与诱饵的联合跟踪，为后续利用状态以及航迹信息进行目标分选提供了条件。结合典型场景验证了方法的有效性。%The Miniature Air Launched Decoy (MALD) flies cooperatively with a true target and construct unresolved targets within the radar beam. The unresolved targets and decoy result in echoes aliasing and observation merging, which causes serious measurement error and traditional track processing failure. Based on the analysis of jamming patterns and characteristics, the signal model of the unresolved targets is proposed. Combining jamming detection, echoes observation, and likelihood function characteristics, the proposed approach directly operates on the monopulse sum and difference returns and uses the particles propagating and evolving in the state space to obtain the conditional state probability density of the unresolved targets and decoy. This method effectively bypasses measurement extraction and parameter measurement, and realizes the joint tracking of the target and decoy. Furthermore, it provides the necessary conditions for target selection to the radar based on track and trajectory data. Simulation experiments illustrate the effectiveness of the proposed method.
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