Based On Wavelet Unknown Blind Channel Receiver

Fade of signal via wireless channels is the most serious problem in wireless communication systems. Techniques must be designed to avoid interferences caused by fading-channel. The most popular technique is adaptive equalization at receiver. Blind equalization is a technique that do not need training data and can do the job of channel equalization with only the knowledge of statistics of received signal.Wavelet analysis is a brand new mathematical tool which has good resolutions at both time and frequency domain. Currently, application of wavelet analysis on wireless communication mainly focuses on algorithm of adaptive equalization. While this dissertation will use wavelet analysis to decompose fading-process, and provide wavelet model of flat fading channel, then propose a new blind receiver based on Monte carol algorithm.