| Blind equalization technology has dozens of years from the rise development up to now. Itdoes not need the training sequence, but uses the channel redundancy bandwidth to equalize thereceived signal, so as to restore the sequence of emission signal. According to the workingprinciple of FRESH equalizer, The received spectrum is rolled over, shifted and repaired in turn.Making full use of the redundancy bandwidth in transmission channel is to repair the damagedsignal spectrum and restains the strong interference in channel.This paper is mainly to research and improve the existed theory of blind equalizationtechnology. For one receiving antenna, first of all, the received signal is sampled by Q times;Then, a getted discrete time signal is extracted by Q times, thus Q independent signal samplesare obtained, accordingly, the information of channel state is also extracted by Q times to converta complete channel into Q virtual logical channels; Afterwards, a FRESH equalizer is placed oneach virtual logical channel; Finally, all the signal samples through the equalizer are merged todemodulate and adjudicate.In addition, above algorithm is extended furtherly in the paper, from one antenna receivingsystem to the multi-antenna receiving system. Using multiple antennas receiving systemfurtherly enhances the accuracy of blind equalization. Lots of repeated simulation experimentshave shown that the algorithm can really improve the accuracy of the blind equalization in signalsequence and prove the feasibility in multiple antennas receiving system.Finally, MIMO and blind equalization technology are combined, then, a new type of MIMO-blind equalization model is designed. An idea that the algorithm is applyed to the model is putforward in this paper. |