26 July 2000 Classification of digital constellations under unknown multipath propagation conditions
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Abstract
We propose a method to classify symbol constellations when the unknown signal of interest has propagated through an unknown frequency selective multipath fading channel. The proposed approach is based on a receiver structure composed of a set of parallel adaptive blind equalizers each of which minimizes a cost function matched to a specific constellation. The method works in batch mode, and an average gradient rather than a stochastic gradient approach is used to obtain smoother convergence. The channel is assumed to be FIR; to avoid instability problems, the equalizer is also constrained to be FIR, even though this creates an unavoidable residual inter-symbol interference (ISI). The proposed algorithm may also be used in conjunction with cumulant-based classifiers (to be triggered after the multipath channel has been partially equalized), and it can be extended to antenna arrays receivers to avoid residual ISI even using FIR filters. The performance of the proposed approach is demonstrated via simulations.
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Sergio Barbarossa, Sergio Barbarossa, Ananthram Swami, Ananthram Swami, Brian M. Sadler, Brian M. Sadler, G. Spadafora, G. Spadafora, } "Classification of digital constellations under unknown multipath propagation conditions", Proc. SPIE 4045, Digital Wireless Communication II, (26 July 2000); doi: 10.1117/12.394092; https://doi.org/10.1117/12.394092
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