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Blind identification of Hammerstein channels using QAM, PSK, and OFDM inputs

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3 Author(s)
Gerasimos Mileounis ; Department of Informatics and Telecommunications, Division of Communications and Signal Processing, University of Athens, 157 84 Ilissia, Athens, Greece ; Nicholas Kalouptsidis ; Panos Koukoulas

This paper is concerned with the blind identification of passband and baseband Hammerstein channels using cumulants of the received sequence. The channel is excited by common communication signals such as QAM, PSK and OFDM; sparseness of the higher order cumulant lags is exploited. Exact expressions and algorithms involving the output cumulants are developed. Performance is assessed by simulations.

Published in:

IEEE Transactions on Communications  (Volume:57 ,  Issue: 12 )