Minimum BER adaptive filtering

Existing adaptive filtering techniques usually attempt to minimize the mean square error (MSE) of some aspect of a received signal, with respect to the desired aspect of that signal. However, adaptive minimization of MSE does not always guarantee minimization of bit error rate (BER). Instead, the probability density function of the received signal can be estimated and used to adaptively determine a solution that minimizes BER. To this end, a new adaptive procedure called the minimum BER estimation (MBE) algorithm has been developed. The MBE is shown to provide, in some cases, a lower BER signal output than traditional MSE-based methods of adaptive filtering