认知MIMO系统中改进的干扰信道学习算法

针对认知MIMO系统中认知用户获知干扰信道的问题，提出了一种改进的盲信道学习算法。该算法用循环雅可比方法估计干扰信道矩阵的零空间，其参数是利用主用户的功率控制机制，通过二分搜索法获得。然后以抑制认知用户对主用户的干扰为目标，提出在学习过程中动态调整二分搜索精度的方法来改善算法收敛性能。理论分析和仿真结果表明，所提算法比BNSL算法收敛速度明显加快，信道学习过程中对主用户的干扰有明显改善。 

A Modified Interference Channel Learning Algorithm in Cognitive MIMO System

A modified algorithm was proposed for Cognitive MIMO Secondary User to learn the interference channel to Primary User. The algorithm estimated the null space of interference channel matrix with cyclic Jacobi method, of which the parameters were acquired by binary search utilizing the power control scheme between Primary Users. Furthermore, aimed at suppressing the interference of Cognitive User to Primary User, a method of dynamically adjusting the binary search accuracy in learning was proposed to improve the convergence performance of the algorithm. Theoretical analysis and simulation results indicate that convergence rate of proposed algorithm is accelerated comparing with BNSL algorithm and interference to Primary User when performing channel learning is significantly improved.