摘要
提出了多输入多输出衰落信道的基于广义高斯分布近似的最小互信息盲均衡器 .采用输出信号的广义高斯分布近似 ,基于互信息最小化目标函数自适应调整均衡器的系数 .比较了基于广义高斯分布近似和非线性变换的两种最小互信息盲均衡算法 .仿真实验表明基于广义高斯分布近似的方法比非线性变换方法有更大的星座图距离 。
Minimum mutual information blind equalizer for multi input multi output fading channel of array antenna system is proposed. Based on method of minimizing of mutual information and approximated generalized Gaussian distribution of equalized output signal, the equalizer changes its coefficients adaptively. This approach and minimum mutual information blind equalization that uses nonlinear transformation are compared. Simulation shows that this approach has much larger constellation distance, faster convergence rate and better BER performance compared with that using nonlinear transformation.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2004年第12期2113-2115,共3页
Acta Electronica Sinica
基金
NSF基金 (No .60 1 71 0 36)
关键词
MIMO
盲均衡
广义高斯分布
非线性变换
互信息
Bit error rate
Communication channels (information theory)
Computer simulation
Convergence of numerical methods
Fading (radio)
Mathematical models
Optimization