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A NOVEL DWELLING TIME DESIGN METHOD FOR LOW PROBABILITY OF INTERCEPT IN A COMPLEX RADAR NETWORK

机译:复杂雷达网络中低拦截概率的新型居住时间设计方法

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摘要

To achieve the important tactical requirement of low probability of intercept (LPI) in the complex radar network, dynamically controlling the emission of the radars is very necessary. A novel radar dwelling time control strategy based on an interacting multiple model algorithm is presented in this paper, which controls the dwelling time of radar according to predicted covariance matrix during tracking, taking advantage of the relation model between the dwelling time and the tracking performance. First, the complex radar network is built for target tracking. Secondly, the influence of the dwelling time is considered in the tracking performance of the complex radar network. Finally, a decision will be made after the dwelling time for every radar is obtained by particle swarm optimization, the radar with the smallest dwelling time will be selected to track target. The tracking accuracy and LPI performance are demonstrated in the Monte Carlo simulations. The results are validated through the comparison with other methods.
机译:为了实现复杂雷达网络中低拦截概率(LPI)的重要战术要求,动态控制雷达发射非常必要。提出了一种基于交互多模型算法的雷达驻留时间控制策略,利用预测时间与跟踪性能之间的关系模型,根据预测的协方差矩阵控制雷达的驻留时间。首先,建立复杂的雷达网络以进行目标跟踪。其次,在复杂雷达网络的跟踪性能中考虑了停留时间的影响。最后,在通过粒子群算法获得每个雷达的停留时间后,将做出决定,将选择停留时间最短的雷达来跟踪目标。跟踪精度和LPI性能在Monte Carlo仿真中得到了证明。通过与其他方法的比较来验证结果。

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