Adaptive blind equalization and demodulation without channel and signal parameter extraction
Document typeConference report
Rights accessOpen Access
The problem of filtering a source of known statistics in noise and/or interference of unknown statistics is addressed in this paper. In a general framework, the optimum estimation (detection) of the desired signal requires perfect knowledge of the probability density functions of the interfering signal and usually leads to complex non-linear algorithms. Herein we have restricted ourselves to linear estimators and optimize performance within this subset according to a criterion derived from information-theoretic considerations. For validation purposes, the particular application of blind data demodulation has been considered. Synchronisation, carrier phase rotation and equalization are performed with the same algorithm to force a source of a known pdf at the output of the adaptive system. Performance at low SNR is derived through simulations.
CitationSala, J., Vazquez, G. Adaptive blind equalization and demodulation without channel and signal parameter extraction. A: European Signal Processing Conference. "EUSIPCO 1994: Signal processing VII: theories and applications; proceedings of EUSIPCO-94, Seventh European Signal Processing Conference; Edinburgh, Scotland, U.K., 13-16 September 1994". Edinburgh, Scotland: 1994, p. 720-723.