Performance comparison of non-linear and adaptive equalization algorithms for wireless digital communication

The recent digital transmission systems impose the application of channel equalizers with short training time and high tracking rate. These requirements turn our attention to channel equalization algorithms. Interference cancellation scheme assisted by an adaptive channel estimation and equalization is developed for the effective use of radio frequency in the existing or on-going mobile communication system. This paper clarifies cancelling ability of the proposed co-channel cancelling algorithm for the GSM system under the multiple cochannel interfering environments. It is confirmed that the developed scheme works well also in the AWGN channel and the frequency flat fast-fading channel. Amongst the several widely known algorithms, we consider the nonlinear equalizer algorithm like MLSE, adaptive algorithms like LMS & RLS. The analysis of each algorithm is given by their scatter plot by taking different modulation techniques and the overall comparison of algorithm is verified for several values of the signal-to-noise ratio (SNR). Algorithms performances are measured by the resulting receiving bit error-rate (BER).