卡尔曼滤波自适应天线加权矢量收敛性分析

Analysis of Adaptive Antennas Weight Vectors Convergence Using Kalman Filter

提出了将卡尔曼滤波器应用于自适应天线，分析了卡尔曼滤波算法初值与天线阵加权矢量收敛性的关系，推导出加权矢量收敛条件．实验考察了收敛条件的有效性，并与最小均方算法进行了比较．

The adaptive antennas using a Kalman filter is proposed.The relationship between the weight convergence character and the algorithm initial values is studied,and the convergence condition is derived.A simulation examines the effectiveness of the convergence character.Finally,the Kalman filter algorithm is compared with the least mean square algorithm. [