BER Performance Improvement in Multipath Fading Environment Using Combined Equalizer and Diversity Techniques

The wireless communication is impaired by the multipath fading characteristics and therefore creates the problems in proper reception. Therefore the knowledge of the channel and the type of fading is most important in designing the receiver. The channel estimation has become very vast field due to different types of interference present in wirelesss channel and in equipments. In this thesis, estimation algorithms for digital communications systems in the presence of Additive White Gaussion noise and Multipath environment are explored and their performance is investigated. In particular, Least square Error equalizer and Zero forcing equalizers are used to provide the optimum solution and compensate for Inter-Symbol error. As the BER performance of equalizers in variable in multipath fading channel therefore we have combined Equal Gain combining and Maximal Ratio Combing Diversity techniques, and find that Maximal Ratio combining techniques is able to fight with Co-Channel interference and Inter-symbol interference problem. The above approaches have resulted in big improvement in BER performance.