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为了解决多假目标干扰环境下的舰艇编队目标选择问题,在线性高斯假设下,建立了编队目标运动模型和量测模型,并基于贝叶斯方法推导了复合假设后验概率,提出了一种反舰导弹目标选择算法。该算法充分利用了导弹导航位置误差、编队机动和队形等信息,并且适用于量测噪声方差不同的实际情况。同时,为了降低算法的计算复杂度,设计了基于队形的预滤波器,大大削减了复合假设数量。算例仿真表明,该算法具有优良的性能,显著提高了编队目标正确选择概率。
In order to solve the problem of formation target selection for multi-fake targets, under the assumption of linear Gaussianity, the formation kinematic model and the measurement model are established. Based on Bayesian method, the posterior probability of complex hypothesis is deduced. Anti-ship missile target selection algorithm. The algorithm takes full advantage of the information of missile navigation position error, formation maneuver and formation formation, and is suitable for measuring the actual situation that the noise variance is different. At the same time, in order to reduce the computational complexity of the algorithm, a formation-based prefilter is designed and the number of compound hypotheses is greatly reduced. The simulation results show that the proposed algorithm has excellent performance and significantly improves the probability of correct selection of formation targets.