A comparison of iterative receivers for the non linear satellite channel

Benammar, Bouchra; Thomas, Nathalie; Poulliat, Charly; Boucheret, Marie‐Laure; Dervin, Mathieu

doi:10.1109/spawc.2015.7227092

Cited by 2 publications

(7 citation statements)

References 10 publications

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“…This signal is sampled at the symbol rate τ R s , leading to the well-known Volterra model truncated to the 3 rd order (see [5]):…”

Section: Receiver Sidementioning

confidence: 99%

“…3) MMSE detection: The MMSE algorithm proposed for non-linear channel in [5] is investigated in order to propose a low-complexity receiver. The same Nyquist and FTN configurations as for MAP detection analysis are used, i.e.…”

Section: B Detection Improvement 1) Exit Charts For Performance Measmentioning

confidence: 99%

“…The MAP detector can be based on a Forney type [14] or a Ungerboeck type [15] receivers (including their numerous reduced states/complexity versions). For complexity reduction, different other receiver structures can be implemented such as Colavolpe's factor graph (FG) based detector [4] or an iterative Minimum Mean-Square Error (MMSE) derived for non-linear channels [5].…”

Section: Introductionmentioning

confidence: 99%

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Piecewise Volterra Series Approximation for Improved Non-Linear Channel Modelization and Detection

Lucciardi¹,

Mesnager²,

Thomas

et al. 2018

2018 IEEE Global Communications Conference (GLOBECOM)

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Open Archive Toulouse Archive OuverteOATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible To cite this version:Abstract-In satellite communications, the non-linear distortions introduced by the amplifier in the payload have to be overcome. When advanced mitigation techniques are considered at the receiver side, the current channel model is often based on Volterra series derived from an approximation of the non linear transfer function of the on-board amplifier. This nonlinear model is conditioning the performance at the receiver side. In this paper, a new non-linear model is proposed, leading to improved receiver performances. The polynomial approximation is improved considering both the usual model truncation to the 3 rd order and the signal fluctuation at the input of the amplifier. First, the impact of the polynomial order of the AM/AM and AM/PM curve approximation is studied. Then, a non-linear model is derived based on a piecewise polynomial approximation of the amplifier response. Based on this refined nonlinear model, significant detection performance improvements are shown for both Nyquist and Faster-than-Nyquist rates.

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“…This signal is sampled at the symbol rate τ R s , leading to the well-known Volterra model truncated to the 3 rd order (see [5]):…”

Section: Receiver Sidementioning

confidence: 99%

Section: B Detection Improvement 1) Exit Charts For Performance Measmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Piecewise Volterra Series Approximation for Improved Non-Linear Channel Modelization and Detection

Lucciardi¹,

Mesnager²,

Thomas

et al. 2018

2018 IEEE Global Communications Conference (GLOBECOM)

Self Cite

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“…represent respectively the 1 and 3 order kernels resulting from the Volterra modeling of the HPA and the different filters. Based on this model, both non-linear (MAP) and linear (MMSE) iterative detectors can be applied [7], enabling turbo-detection paired with Low-Density Parity Check (LDPC) decoding.…”

Section: B Volterra Based Detectorsmentioning

confidence: 99%

“…In [5], the Volterra model for non-linear channel modeling through Volterra kernels is depicted. Non-linear [6] and linear [7] Volterra based detectors can be implemented at the receiver for spectral efficiency improvement in strong non-linear channel context. Moreover, such advanced receivers allow an increase of the transmission rate through faster-than-Nyquist (FTN) signaling [3].…”

Section: Introductionmentioning

confidence: 99%

Non-Linearized Amplifier and Advanced Mitigation Techniques: DVB-S2X Spectral Efficiency Improvement

Lucciardi¹,

Potier²,

Buscarlet³

et al. 2017

GLOBECOM 2017 - 2017 IEEE Global Communications Conference

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The latest standardization DVB-S2X increases the achievable spectral efficiency of the satellite communications by around 15% in AWGN channel. In order to benefit from those improvements, the strong non-linear distortions introduced by the payload have to be overcome, mostly taking high back-off on the amplifier operation point. Nowadays, on-board amplifiers are linearized before being deployed, allowing low-complexity transmitters and receivers at the detriment of the payload's cost and reduced energy efficiency. In this paper, various techniques are investigated for the purpose of spectral efficiency improvement while releasing the amplifier linearization constraint. Iterative pre-distortion at the transmitter, turbo-equalization at the receiver and appropriate waveforms for transmission through non-linearized payload appear as strong candidates considering the results of this study.

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A comparison of iterative receivers for the non linear satellite channel

Cited by 2 publications

References 10 publications

Piecewise Volterra Series Approximation for Improved Non-Linear Channel Modelization and Detection

Piecewise Volterra Series Approximation for Improved Non-Linear Channel Modelization and Detection

Non-Linearized Amplifier and Advanced Mitigation Techniques: DVB-S2X Spectral Efficiency Improvement

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