Performance of Fuzzy Equalizers in software defined radio

Software Defined Radio is an all new technology being developed in the 21st century. The major practical problem in digital communication systems is channel distortion which causes errors due to Intersymbol Interference (ISI). Channel equalisers are used in digital communication receivers to mitigate the effects of inter symbol interference (ISI) and inter user interference in the form of co-channel interference (CCI) and adjacent channel interference (ACI) in the presence of additive white Gaussian noise (AWGN). An equaliser uses a large part of the computations involved in the receiver. Equalizers are designed to reduce the ISI as much as possible and to minimize the effect of the additive noise for better demodulation. This paper presents a software defined radio module with fuzzy adaptive equalizer. The main focus will be on reconfigurable software defined radio (SDR) because the reconfiguration of mappings is very difficult to be achieved in hardware Here Fuzzy Equalizers are designed in which step size is controlled through Fuzzy Rules. Results are shown for input & output SNR at different iterations which concludes that the coefficients of Fuzzy Adaptive Equalizer are updated, correspondingly output SNR has been increased. The output and input Signal to Noise Ratio is then calculated for different Iterations.