By Topic

Blind Channel Identification and MMSE Equalization Algorithm based on FIR Multirate Filterbank Precoders

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Jun-hong Ni ; Inst. of Telecommun. Eng., Beijing Univ. of Posts & Telecommun., Beijing ; Ze-min Liu

It is well-known that interbank 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.

Published in:

Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on

Date of Conference:

21-25 Sept. 2007