Noncoherent adaptive channel identification algorithms for noncoherent sequence estimation

TitleNoncoherent adaptive channel identification algorithms for noncoherent sequence estimation
Publication TypeJournal Article
Year of Publication2001
AuthorsSchober, R., and W. H. Gerstacker
JournalCommunications, IEEE Transactions on
Pagination229 -234
Date Publishedfeb.
Keywordsadaptive estimation, adaptive noncoherent receivers, carrier phase variations, convergence of numerical methods, convergence speed, fading channels, frequency offsets, identification, intersymbol interference, intersymbol interference channels, ISI channel, least mean squares methods, M-ary differential phase-shift keying signals, noncoherent adaptive channel identification algorithms, noncoherent least-mean-square, noncoherent recursive least squares, noncoherent sequence estimation, receivers, recursive estimation, steady-state error, zero frequency offset

In this letter, two novel noncoherent adaptive algorithms for channel identification are introduced. The proposed noncoherent least-mean-square (LMS) and noncoherent recursive least squares (RLS) algorithms can be combined easily with noncoherent sequence estimation (NSE) for M-ary differential phase-shift keying signals transmitted over intersymbol interference (ISI) channels. It is shown that the resulting adaptive noncoherent receivers are very robust against carrier phase variations. For zero frequency offset, the convergence speed and the steady-state error of the noncoherent adaptive algorithms are similar to those of conventional LMS and RLS algorithms. However, the conventional algorithms diverge even for relatively small frequency offsets, whereas the proposed noncoherent algorithms converge for relatively large frequency offsets. Simulations confirm the good performance of NSE combined with noncoherent adaptive channel estimation in time-variant (fading) ISI channels


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