Low-complexity iterative demodulation for noncoherent coded transmission over Ricean-fading channels

TitleLow-complexity iterative demodulation for noncoherent coded transmission over Ricean-fading channels
Publication TypeJournal Article
Year of Publication2001
AuthorsLampe, L. H. - J., and R. Schober
JournalVehicular Technology, IEEE Transactions on
Pagination1481 -1496
Date Publishednov.
Keywordsamplitude modulation, bandwidth efficient noncoherent transmission, bit-interleaved coded modulation, convergence, convergence of numerical methods, convolutional codes, cutoff rate, demodulation, differential detection, feedback, frequency nonselective Ricean-fading channels, hard-decision feedback, information theory, interleaved codes, Iterative Decoding, land mobile radio, low-complexity iterative demodulation, low-complexity receiver, mobile communication, modulation coding, noncoherent coded transmission, noncoherent reception, nonstationary transmission channels, phase modulation, power efficient noncoherent transmission, prediction-based branch metric calculation, prediction-error variance, radio receivers, Rician channels, simulation results, time-variant transmission channels, time-varying channels

Power and bandwidth efficient noncoherent transmission over frequency nonselective Ricean-fading channels is studied. We propose a low-complexity receiver structure, which is very well suited to mobile communication scenarios with time-variant and nonstationary transmission channels. Applying bit-interleaved coded modulation with standard convolutional codes, substantial gains of several decibels in power efficiency compared to conventional differential detection are achieved. To obtain the novel noncoherent reception scheme, ideas of iterative decoding with hard-decision feedback and prediction-based branch metric calculation are combined and extended. Furthermore, the incorporation of combined phase and amplitude modulation for high bandwidth efficiency is focused on. The theoretical analysis of both the convergence and the achievable performance of iterative decoding are given by evaluating the corresponding prediction-error variance and the associated cutoff rate, respectively. The results from information theory are well confirmed by simulation results presented for different channel scenarios


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