目标跟踪时基于射频隐身的采样周期设计

为进一步提高雷达的射频隐身能力，在分析相控阵雷达采样周期与射频隐身性能的关系的基础上,基于交互多模型算法，提出了目标跟踪时基于射频隐身的采样周期设计方法, 根据运动状态的不同，自适应设计下一时刻的采样周期。首先对目标跟踪算法中的运动目标设定期望的协方差，利用协方差控制方法求出各模型的采样周期，然后利用跟踪算法更新后的模型概率对各模型采样周期进行加权求和，在满足跟踪精度同时，有效地设计了采样周期。本文算法与传统的采样周期算法、公式法进行比较，仿真结果表明本文算法具有较好跟踪性能的同时，增大了跟踪过程中的采样周期，从而显著提高了雷达射频隐身性能。 

Design of Sampling Period Based on Radio Frequency Stealth for Target Tracking

In order to improve the radar's ability of radio frequency stealth, the relationship between phased array radar and the Radio Frequency stealth performance is analyzed. Then A novel design method of sampling period based Radio Frequency Stealth for radar target tracking is proposed based on interacting multiple models tracking algorithm, the sampling period is designed adaptively according to the target state. Firstly, desired covariance is set for the target in tracking algorithm and then each model sampling period is computed using covariance control method. Then the next sampling period is obtained by using weighted sum of the sampling period of each model by the update-probability of model. Comparing the proposed algorithm with the fixed sampling period and tradition formula method, the simulations show that our method can not only have good tracking accuracy, but also increase the sampling period which can improve the radar's ability of radio frequency stealth.