A TECHNIQUE FOR ICI CANCELLATION USING BAYESIAN PROBABILITY AND PARALLEL CANCELLATION (BPICI)

In past decade, the detection and mitigation of Intercarrier interference (ICI) in MIMO-OFDM system has
been studied by various researchers due to the presence of frequency offset. Literature presents several
works for ICI cancellation as like, iterative receivers, parallel cancellation (PIC) and so on. Among various
techniques, researchers have put much concentration on PIC detectors which is a non-linear Multi-User
Detection technique wherein the transmitted signal of each user is detected in parallel over a number of
iterations. In this paper, Bayesian Probability based Intercarrier Interference Cancellation techniqueis
proposed. The technique employs Bayesian probability computation process and parallel cancellation.The
transmitted signals are received by the receiver section which consists oftwo cancellation stages. In the first
stage, hard decision based decoding is carried out for spatial dimensions and in the second, Bayesian
probability is employed after parallel interference cancellation.For the evaluation purpose, BER curves are
plotted. Various curves are obtained by varying the fading channel, number of user signals and number of
antennas Comparative analysis is also made by comparing to other techniques such as PIC and MVDR.
From the results, we can see that our proposed technique has achieved better performance by having lower
BER.