自适应阵列天线中应用Kalman补偿算法的探讨

为了补偿在自适应阵列天线中应用Kalman算法时,由于模型误差和计算误差所引起的自适应阵列天线性能的损失,本文引入Kalman补偿算法,即自适应Kalman渐消记忆滤波算法及自适应Kalman参量识别滤波算法,获得了有益的结果。最后在上述两种算法的基础上,导出了一种新的算法,该算法具有上述两种算法的优点。

Research on the Kalman Compensation Algorithms for Adaptive Array Antennas

In order to compensate the performance loss for adaptive array antennas caused by model errors and computation errors when the Kalman algorithm is applied to adaptive array antennas,in this paper adaptive algorithms of Kalman fading memory filtering and Kalman estimating parameter filtering are introduced and analyzed,and benificial results are obtained.Finally,a new algorithm of combining fading memory filtering with estimating parameter filtering is deduced on the basis of the above two algorithms.This new algorithm possesses the advantages of both algorithms.