Convergence of the Complex Envelope of Bandlimited OFDM Signals

Wei, Shuangqing; Goeckel, Dennis; Kelly, Patrick A.

doi:10.1109/tit.2010.2059550

Cited by 107 publications

(70 citation statements)

References 29 publications

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“…Finally, the output/input power ratio ξ can be calculated as [2] Figure 2a,b shows the relationship between C n /ξ and γ dB in the case of soft envelope limiter model and erf model, respectively, where the IBO here is defined as γ dB 20 log 10 γ . As expected from (17) and (18), since the correlation between the input and output signals becomes higher as we increase IBO, the effective signal term (C 0 ) increases, whereas the other terms that represent residual distortions decrease. In the case of the soft envelope limiter, when γ dB is low, the third-order distortion term (C 1 ) becomes dominant, but as γ dB increases, higher-order terms eventually dominate.…”

Section: Erf Modelsupporting

confidence: 67%

“…It thus follows that the term with n = 0 in (8), or equivalently (17), represents the useful signal component and the remaining terms correspond to distortion. In fact, taking Fourier transform of (8) gives the normalized PSD, which is expressed as…”

Section: Psd Of Output Signalsmentioning

confidence: 99%

“…where |ρ z i ,z o | 2 is defined in (17). This is referred to as a design SDR in [2] and can be easily calculated through the measurement of only the cross-correlation coefficient (18).…”

Section: Total Signal-to-distortion Power Ratiomentioning

confidence: 99%

“…As is common in the statistical analysis of OFDM signals [8,9,11,16,17], the PA input signal is assumed to be a zero-mean circular symmetric stationary complex Gaussian process [18] throughout this work.…”

Section: Introductionmentioning

confidence: 99%

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Characterization of power spectral density for nonlinearly amplified OFDM signals based on cross-correlation coefficient

Lee

Ochiai

2014

J Wireless Com Network

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Orthogonal frequency division multiplexing (OFDM) has been adopted in many modern communication systems due to its robustness against frequency-selective fading channels as well as its near-rectangular spectrum that can achieve high spectral efficiency. However, its major drawback is the resulting signal with high peak-to-average power ratio (PAPR), which causes severe nonlinear distortion at the power amplifier (PA) unless input backoff is chosen sufficiently large. The effect of the nonlinear distortion is two-fold: out-of-band radiation and signal quality degradation. The former causes adjacent channel interference and thus degrades the bandwidth efficiency. The latter affects the system level performance and is often measured by the error vector magnitude (EVM). It is thus important for the system designer to analyze the nonlinear distortion caused by a given PA in terms of power spectral density (PSD) and EVM, but accurate calculation of these characteristics may be generally involved. In this work, by establishing the link between the cross-correlation coefficient of the input and output signals from PA and the resulting PSD, we characterize the in-band and out-of-band distortion of nonlinearly amplified OFDM signals based exclusively on the cross-correlation coefficient. The accuracy of the proposed approach is confirmed by both simulation and measurement using a real PA.

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Section: Erf Modelsupporting

confidence: 67%

Section: Psd Of Output Signalsmentioning

confidence: 99%

“…where |ρ z i ,z o | 2 is defined in (17). This is referred to as a design SDR in [2] and can be easily calculated through the measurement of only the cross-correlation coefficient (18).…”

Section: Total Signal-to-distortion Power Ratiomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Characterization of power spectral density for nonlinearly amplified OFDM signals based on cross-correlation coefficient

Lee

Ochiai

2014

J Wireless Com Network

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“…Furthermore, it is theoretically proved in [12,13] that a bandlimited uncoded OFDM symbol converges weakly to a Gaussian random process as the number of subcarriers goes to infinity.…”

Section: Introductionmentioning

confidence: 99%

Probability distribution analysis of M-QAM-modulated OFDM symbol and reconstruction of distorted data

Yoo

Guilloud

Pyndiah

2011

EURASIP J. Adv. Signal Process.

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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.

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References

2017

Advanced Multicarrier Technologies for Future Radio Communication

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Convergence of the Complex Envelope of Bandlimited OFDM Signals

Cited by 107 publications

References 29 publications

Characterization of power spectral density for nonlinearly amplified OFDM signals based on cross-correlation coefficient

Characterization of power spectral density for nonlinearly amplified OFDM signals based on cross-correlation coefficient

Probability distribution analysis of M-QAM-modulated OFDM symbol and reconstruction of distorted data

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