Classification of digital constellations under unknown multipath propagation conditions

Sergio Barbarossa; Ananthram Swami; Brian M. Sadler; G. Spadafora

doi:10.1117/12.394092

26 July 2000 Classification of digital constellations under unknown multipath propagation conditions

Sergio Barbarossa, Ananthram Swami, Brian M. Sadler, G. Spadafora

Proceedings Volume 4045, Digital Wireless Communication II; (2000) https://doi.org/10.1117/12.394092
Event: AeroSense 2000, 2000, Orlando, FL, United States

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.

Citation Download Citation

Sergio Barbarossa, Ananthram Swami, Brian M. Sadler, and G. Spadafora "Classification of digital constellations under unknown multipath propagation conditions", Proc. SPIE 4045, Digital Wireless Communication II, (26 July 2000); https://doi.org/10.1117/12.394092

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