盲区下高超声速飞行器贝叶斯指示交接方法

Bayesian handover method of hypersonic vehicle in detection blind zone

针对探测盲区下的高超声速飞行器接力跟踪问题,提出了基于多假设运动模型的贝叶斯指示交接方法。该方法首先根据目标运动的先验信息,对盲区下模型参数进行多假设建模。然后利用贝叶斯理论以概率的形式表达目标在盲区内的运动状态,通过蒙特卡罗采样近似计算搜索空域中目标的概率分布,从而确定搜索空域和波位顺序。仿真结果表明,该算法在一定盲区范围内,针对不同机动能力的目标均具有较高交接成功概率,其性能显著优于传统算法,能够实现目标的指示交接。

Considering the problem of tracking hypersonic vehicle in detection blind zone, a Bayesian handover method based on multiple-hypothesis motion models is proposed. According to the priori information of target motion, this method firstly models the multiple-hypothesis of the model parameters in detection blind zone. Then the Bayesian theory is used to express the motion state of the target in the form of probability. The probability distribution of the target is approximately calculated by Monte-Carlo sampling, and the searched space and wave arrangements can be determined consequently. The simulations show that the proposed algorithm has a high probability of success for handing-off targets with different maneuverability, whose performance is significantly better than that of the traditional algorithm and it can achieve the target handover.