On blind channel estimation with periodic misses and equalization of periodically varying channels
Georgios B. Giannakis, G. Tong Zhou, M.K. Tsatanis · 2003
Time series with systematic misses and signals passing through rapidly fading channels can be modeled as cyclostationary output sequences of linear periodically time-varying (LPTV) systems. Blind identification of finite parameter LPTV systems can be accomplished using cyclic second- and higher-order statistics of the cyclostationary output, even if the latter is corrupted by stationary noise of unknown spectral characteristics. Novel closed-form solutions for the modulating sequence which models periodic misses and the TV moving average parameters of periodic channels are developed. Using the estimated LPTV channel, the Viterbi algorithm, or a computationally efficient LPTV mean-squared error equalizer can be adopted to recover the information bearing input.>