Bayesian equalization for satellite communications with multipath and burst digital transmission

In this paper, we present a channel equalization scheme for time-division multiple access (TDMA) satellite communications with burst digital transmission. We show that each channel states of multipath satellite channel follows a Gaussian distribution, which means a Bayesian equalization can be implemented. The parameters of the Bayesian equalization are determined using an unsupervised clustering method fuzzy cmeans (FCM) method. A n extremely small number of training symbols (about 1% of a burst) are used t o determine the category of each channel state with the aid of data mining. Simulation results show that our Bayesian equalizer performs much better than the recently proposed nearest neighbor classifier-based equalizer a t moderate to high signal-to-noise ratio (SNR).