Abstract | ||
---|---|---|
In this paper, we propose a blind binary low-density parity-check (LDPC) encoder identification scheme for M-quadrature amplitude modulation (M-QAM) signals. The expectation-maximization (EM) algorithm is developed to estimate the unknown signal amplitude, noise variance, and phase offset for M-QAM signals. The a posteriori probabilities (APPs) of the coded bits are obtained from the APPs of the transmitted symbols according to the M-QAM mapper. Monte Carlo simulation results demonstrate the effectiveness of our proposed new blind binary LDPC encoder identification scheme for different modulation orders. The average iteration number needed for the EM algorithm to converge is also investigated for different modulation orders. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1109/GLOCOM.2014.7037355 | GLOBECOM |
Keywords | Field | DocType |
blind encoder identification,expectation-maximisation algorithm,m-qam signals,expectation-maximization,iteration number,noise variance,expectation-maximization algorithm,blind binary ldpc encoder identification scheme,amplitude estimation,a posteriori probability,monte carlo simulation,low-density parity-check (ldpc) codes,low density parity check,app,unknown signal amplitude estimation,transmitted symbols,blind source separation,quadrature amplitude modulation,monte carlo methods,binary codes,modulation orders,parity check codes,phase offset,signal detection,em algorithm,iterative methods,m-quadrature amplitude modulation,wireless communication,noise,wireless sensor networks | Quadrature modulation,Identification scheme,Quadrature amplitude modulation,Low-density parity-check code,Computer science,Amplitude and phase-shift keying,Algorithm,Real-time computing,Modulation,Theoretical computer science,Encoder,Amplitude modulation | Conference |
ISSN | Citations | PageRank |
2334-0983 | 1 | 0.36 |
References | Authors | |
14 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tian Xia | 1 | 3 | 2.11 |
Hsiao-chun Wu | 2 | 959 | 97.99 |
Shih Yu Chang | 3 | 351 | 30.40 |
Xian Liu | 4 | 176 | 26.75 |
Scott C.-H. Huang | 5 | 476 | 27.28 |