Stochastic blind equalization based on PDF fitting using Parzen estimator
IEEE Transactions on Signal Processing
Blind adaptive equalizer for broadband MIMO time reversal STBC based on PDF fitting
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
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In this paper, we propose a new adaptive technique for blind multiuser equalisation. The proposed approach is based on fitting the probability density function (pdf) of the equalizer output to the desired pdf of the corresponding symbol alphabet. The underlying pdf at the equalizer output is estimated by means of the Parzen Window method. A switch between blind and Decision Directed adaptation is possible by manipulating the kernal size of the Parzen Window Estimator. The cost function of the proposed technique can be measured by a stochastic gradient descent approach. The performance of the proposed adaptation strategy is assessed by a number of simulations, and benchmarked against Firmer-CMA under QPSK modulation.