Improving Decoding Performance of DVB-S2 Transmission on a Nonlinear Channel

Xu, Cunyi; Peng, John; Wilson, Stephen G.; Xie, Tingjun

doi:10.2514/6.2013-5644

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…This section includes our previous results [15] for baseline comparisons. Figure 2 shows the achievable rates of a memoryless (L = 0) receiver which uses a linear filter matched to the original pulse shape before the nonlinear distortion.…”

Section: A Matched Filter Results For Comparisonmentioning

confidence: 99%

“…Thus in this paper we focus on information rate calculations with the anticipation that future bit error rate calculations will confirm these results (to be presented). Our previous work shows that the information rates calculated using these methods were indeed approachable by LDPC codes, [15].…”

Section: B Lower Bound Equivalence With Achievable Rate Of Reduced Cmentioning

confidence: 99%

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Achievable rates for reduced-complexity receivers on nonlinear satellite channels with memory

Peng¹,

Wilson²

2014

2014 IEEE International Conference on Communications (ICC)

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We study achievable information rates for nonlinear channels with memory, in the context of satellite communication with QAM modulation. The complete channel model can be described by a Volterra expansion, but large alphabet size and/or large channel memory length may prohibit optimal softoutput demodulator processing, say with the BCJR algorithm. Thus we focus on reduced-state receivers and their achievable information rates as a function of state complexity, amplifier backoff, and receiver input sampling rate. These achievable rates for mismatched receivers are known to be attainable with powerful error control codes and optimal decoding. I. INTRODUCTIONWe consider transmission of QAM signals via a nonlinear satellite relay, with particular interest in achievable information rates obtainable as a function of downlink SNR, uplink power backoff, and complexity of a reduced-state decoder for the nonlinear channel with memory. More specifically, we investigate the transmission of 16-APSK modulated signals as typical in DVB-S2 systems that are distorted at the transmitter by a traveling wave tube amplifier represented by a memoryless Saleh model [1]. Figure 1 shows this configuration, where h(t) represents transmitter pulse shaping for spectrum control, g() represents the nonlinear amplifier, and h OMUX (t) is the output multiplexing filter. The reciever implements a trellis-based soft intput soft output (SISO) detector. Our model assumes strong uplink signals, so uplink noise due to the satellite amplifiers is ignored, and only downlink noise is considered.In the absence of nonlinear distortion, QAM signals can be optimally detected by the use of a single matched filter, which preserves sufficient statistics. However this no longer is the case when there is a nonlinear element in the transmit chain.It has been recognized that a matched filter (or correlator) bank is able to provide the sufficient statistics for an optimal trellis-based detector for this scenario, see [2]. However the complexity of the optimal detector (either SISO module or sequence decoder) grows as M L , where M is the modulator alphabet size, and L is the channel memory order. Our interest is in producing soft outputs, or symbol likelihoods,

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Section: A Matched Filter Results For Comparisonmentioning

confidence: 99%

Section: B Lower Bound Equivalence With Achievable Rate Of Reduced Cmentioning

confidence: 99%

Achievable rates for reduced-complexity receivers on nonlinear satellite channels with memory

Peng¹,

Wilson²

2014

2014 IEEE International Conference on Communications (ICC)

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“…As with one-way transmission, the entropy calculations can be done via numerical integration. These calculations were done by Xu in [57]. Figure 3.12 shows the information rates for two synchronous users with equal average power.…”

Section: Nrz Pulse Shapingmentioning

confidence: 99%

Optimizing Communications Systems: Finding Gains at the Least Marginal Cost

Peng¹

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The analytical expression for the ultimate limit of communications efficiency has been known since Shannon's A Mathematical Theory of Communication, published in 1948. Since then, the digital revolution has provided the signal processing complexity needed to close the gap between this limit and practical communication systems. This dissertation on optimizing communications systems investigates the tradeoff between communications efficiency and signal processing complexity in light of the current state of art techniques in communications theory. It begins with techniques of calculating information rates for non-linear satellite channels. Information rate calculations give the absolute limit in communications efficiency and are used as a reference point to the optimization problem. The second part of this dissertation uses information rate calculations to examine the complexity versus efficiency tradeoff of a physical layer approach known as fasterthan-Nyquist (FTN) signalling, which has been a popular area of research recently. Our results show FTN does not show significant advantages over a much simpler OFDM technique, which is already widely implemented in modern communications systems. These results inspired the question of what method of optimizing communications systems could be obtained at the least marginal cost in complexity. While techniques such as MIMO [9] still holds promise for future improvement at the physical layer, application specific optimization may give the greatest performance gain at the least cost in signal processing complexity. The final part of this thesis examines this statement and hopes to provide evidence of this conjecture. Contents Contents v List of Figures viii List of Tables xi List of Figures x 5.13 OFDM N = 64 M = 4 Mask Constrained Capacities for Tapered Low SNR (N 0 = 0 dB) and High SNR (N =-40 dB) Profiles. 5.14 OFDM N = M = 4 PSD for Tapered Low SNR (N 0 = 0 dB) and High SNR (N 0 =-40 dB) Profiles. .. .. .. .. .. . 5.15 OFDM N = M = 4 Mask Constrained Capacities for Tapered Low SNR (N = 0 dB) and High SNR

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Optimizing the implementation of a Bessel-Fourier model-based algorithm: maximizing accuracy while minimizing computation time

Martin

2014

32nd AIAA International Communications Satellite Systems Conference

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Improving Decoding Performance of DVB-S2 Transmission on a Nonlinear Channel

Cited by 3 publications

References 9 publications

Achievable rates for reduced-complexity receivers on nonlinear satellite channels with memory

Achievable rates for reduced-complexity receivers on nonlinear satellite channels with memory

Optimizing Communications Systems: Finding Gains at the Least Marginal Cost

Optimizing the implementation of a Bessel-Fourier model-based algorithm: maximizing accuracy while minimizing computation time

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