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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tian Xia Hsiao-Chun Wu |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Electrical Engineering and Computer Science, Louisiana State University, Baton Rouge, 70803, USA (Tian Xia; Hsiao-Chun Wu) |
| Abstract | Blind signal processing methods have been very popular recently since they can play crucial roles in the prevalent cognitive radio research. Blind encoder identification has drawn immense research interest lately. In this paper, we make the first-ever attempt to tackle the blind low-density parity-check (LDPC) encoder identification for binary phase-shift keying (BPSK) signals. We propose a novel blind identification system which consists of three components, namely EM (expectation-maximization) estimator for signal amplitude and noise variance, LLR (log-likelihood ratio) estimator for syndrome a posteriori probabilities, and maximum average LLR detector. Monte Carlo simulation results demonstrate that our proposed new blind LDPC encoder identification scheme is very promising even for harsh channel environments with low signal-to-noise ratios. |
| Starting Page | 12 |
| Ending Page | 16 |
| File Size | 1049663 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467330718 |
| e-ISBN | 9781467330701 |
| e-ISBN | 9781467330695 |
| DOI | 10.1109/ITST.2012.6425150 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-11-05 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Blind encoder identification adaptive modulation and coding (AMC) Transmitters low-density parity-check (LDPC) codes Receivers Parity check codes Binary phase shift keying Standards Radio access networks |
| Content Type | Text |
| Resource Type | Article |
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