Title | ||
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Reduced-Complexity Equalization for Faster-Than-Nyquist Signaling: New Methods Based on Ungerboeck Observation Model. |
Abstract | ||
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In this paper, we consider the detection of faster-than-Nyquist (FTN) signaling. By noticing that the whitening filter for FTN signaling cannot be directly derived when the symbol rate exceeds the signal bandwidth, we propose a new reduced-complexity M-algorithm BCJR (M-BCJR) algorithm based on the Ungerboeck observation model. By taking some “future” symbols into account, the proposed algorithm i... |
Year | DOI | Venue |
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2018 | 10.1109/TCOMM.2017.2774816 | IEEE Transactions on Communications |
Keywords | Field | DocType |
Modulation,Receivers,Computational modeling,Bandwidth,Complexity theory,AWGN channels,Peak to average power ratio | Equalization (audio),Computer science,Control theory,Symbol rate,Modulation,Bandwidth (signal processing),Spectral efficiency,Maximum a posteriori estimation,Nyquist–Shannon sampling theorem,Bit error rate | Journal |
Volume | Issue | ISSN |
66 | 3 | 0090-6778 |
Citations | PageRank | References |
10 | 0.56 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shuangyang Li | 1 | 112 | 11.38 |
Baoming Bai | 2 | 353 | 63.90 |
jing zhou | 3 | 112 | 20.35 |
Peiyao Chen | 4 | 11 | 2.61 |
Zhongyang Yu | 5 | 10 | 3.26 |