基于最小负载的相控阵雷达自适应数据率更新算法

Study on Adaptive Variable Update Rate for a Phased Array Radar Based on Minimum Load

提出了一种基于最小负载的相控阵雷达自适应数据率更新算法。该算法基于交互多模型(IMM),以雷达负载最小为准则,推导出新息协方差矩阵和时间间隔T的函数关系,通过求取该函数在一定范围内的极小值,得到使雷达负载最小的时间间隔。仿真结果证明了该算法能够保持雷达负载最小的条件下,根据目标的运动情况自适应的改变跟踪时间间隔,目标机动时预测误差明显小于固定时间间隔目标跟踪算法。

This paper presented a adaptive variable update rate algorithm for a phased array radar based on minimum radar load.The algorithm is based on IMM,using the rule of minimum radar load.Derive the function ralationship of innovation variance covariance matrix and interval time.By minimizing the numerical value of the function in a giving scale,get the interval time for the minimum load.Simulation result proves that the algorithm can vary the interval time adaptively based on the move state of the target,maintaining radar load is minimum.Estimated mean error is less than fixed update rate algorithm when target maneuvering.