This study describes reduced complexity demod-ulator of pulse-shaped spectrally efficient frequency division multiplexing signals (PS-SEFDM). It is based on using successive interference cancellation algorithm (SIC) with Viterbi tree. General expressions for complexity estimation of proposed algorithm is presented. BER performance of PS-SEFDM signals for QPSK, QAM-16 using the proposed demodulation algorithm in AWGN is considered. The BER performance of proposed algorithm is the same as the one of Viterbi algorithm, while the computational complexity is reduced by more than 10 times in case of QAM-16.
No takes yet. Share an insight, caveat, or question.
Nguyen et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: