自适应最小误比特率滤波算法研究

The Study on Adaptive Minimum Bit Error Rate Filtering

针对数字通信系统,介绍了一种新的滤波算法。该算法基于最小误比特率(MBER)准则,并利用梯度下降法实现。通过采用内核密度估计的方法来估计误码率函数,可将其推广到自适应的最小误比特率(LBER)滤波算法。仿真结果表明,LBER具有良好的收敛性能和误码性能,可以广泛应用于均衡、波束成形、检测等。

A new filtering algorithm is introduced for digital communication system. The algorithm is based on minimum bit error rate criterion which can be carried out by gradient algorithm. Based on the estimation of kernel density function, an algorithm called adaptive least bit error rate filtering can be obtained. Simulation results show that the LBER has a good performance in convergence and bit error rate, so it can be widely used in channel equalization, beam forming and detection etc.