Blind Channel Identification and MMSE Equalization Algorithm based on FIR Multirate Filterbank Precoders
It is well-known that filterbank precoders can be applied in blind identification and equalization of finite impulse response (FIR) channels. In this paper, a blind channel identification algorithm based on nonmaximally decimated FIR multirate filterbank precoders is proposed. The proposed algorithm is not sensitive to the characteristics of unknown channel and performs well even with nonminimum phase channels. Using the identification algorithm, a minimum mean square error (MMSE) FIR equalizer is proposed. It is shown that, the proposed equalizer outperforms zero forcing (ZF) equalizer. It can mitigate the intersymbol interference (ISI) and depress the noise amplification effect simultaneously, and subsequently maximizes the signal to noise ratio of the system at the receiver. Simulation examples demonstrate their good performance.
blind signal processing technology channel identification and equalization multirate filterbank MMSE criterion
Jun-hong Ni Ze-min Liu
Institute of Telecommunication Engineering, Beijing Univ. of Posts and Telecommunications Beijing,China, 100876
国际会议
上海
英文
2007-09-21（万方平台首次上网日期，不代表论文的发表时间）