Title | ||
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Probability distribution analysis of M-QAM-modulated OFDM symbol and reconstruction of distorted data. |
Abstract | ||
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Abstract It is usually assumed that N samples of the time domain orthogonal frequency division multiplexing (OFDM) symbols have an identical Gaussian probability distribution (PD) in the real and imaginary parts. In this article, we analyze the exact PD of M-QAM/OFDM symbols with N subcarriers. We show the general expression of the characteristic function of the time domain samples of M-QAM/OFDM symbols. As an example, theoretical discrete PD for both QPSK and 16-QAM cases is derived. The discrete nature of these distributions is used to reconstruct the distorted OFDM symbols due to deliberate clipping or amplification close to saturation. Simulation results show that the data reconstruction process can effectively lower the error floor level. |
Year | DOI | Venue |
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2011 | 10.1186/1687-6180-2011-135 | EURASIP J. Adv. Sig. Proc. |
Keywords | Field | DocType |
OFDM,discrete probability distribution,M-QAM,nonlinear amplifier,data reconstruction | Telecommunications,Probability distribution,Artificial intelligence,Time domain,Computer vision,Data reconstruction,Characteristic function (probability theory),Symbol,Algorithm,Gaussian,Mathematics,Orthogonal frequency-division multiplexing,Phase-shift keying | Journal |
Volume | Issue | ISSN |
2011 | 135 | 1687-6180 |
Citations | PageRank | References |
8 | 0.54 | 12 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hyunseuk Yoo | 1 | 21 | 3.01 |
Frédéric Guilloud | 2 | 34 | 8.66 |
Ramesh Pyndiah | 3 | 79 | 17.12 |