On the adaptive DVB-S2 physical layer: design and performance

ARCES, Bologna Univ., Italy
IEEE Wireless Communications (Impact Factor: 5.42). 01/2006; 12(6):62 - 68. DOI: 10.1109/MWC.2005.1561946
Source: IEEE Xplore

ABSTRACT The successful DVB standard has now evolved into the DVB-S2 standard, which promises to bring very significant capacity gains. The main DVB-S2 feature is its adaptive air interface, where coding and modulation techniques are varied flexibly to maximize performance and coverage. This article addresses the design of the entire DVB-S2 communication chain, considering practical algorithms for coding, modulation, predistortion, carrier and SNR estimation, frame synchronization, and data recovery. The design complexity is exacerbated by the fact that DVB-S2 foresees 28 different coding/modulation pairs, demanding specific optimization and variable frame length. The performance achieved considering all possible impairments is compared to the ideal performance achievable in the Gaussian channel in terms of integral degradation, which ranges from 0.4 to 2,5 dB in going from QPSK to 32-APSK.

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    • "현대 통신 시스템들은 변하는 채널의 상태에서 시스템의 최적 성능을 만족하기 위해, 여러 가지 수 신기 최적화 알고리즘들이 SNR에 대한 정보를 요구 한다. 현재 적응형 전송 방식은 위성 방송 서비스의 차세대 표준인 DVB-S2에 적응형 변복조 및 부호화 방식 기술로 채택되었다 [1] "
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    ABSTRACT: In the channel-varying environment, it is very important to estimate the signal to noise ratio(SNR) of received signal and to transmit the signal effectively for the modern communication system. The performance of existing non-data-aided (NDA) SNR estimation methods are substantially degraded for high level modulation scheme such as M-ary APSK or QAM. In this paper, we propose a SNR estimation method which uses zero point auto-correlation of received signal per block and auto-/cross- correlation of decision feedback signal in OFDM system. Proposed method can be studied into two Types; Type 1 can estimate SNR by zero point auto-correlation of decision feedback signal based on the second moment property. Type 2 uses both zero point auto-correlation and cross-correlation based on the fourth moment property. In block-by-block reception of OFDM system, these two SNR estimation methods can be possible for the practical implementation due to correlation based the estimation method and they show more stable estimation performance than the previous SNR estimation methods. Also, we mathematically derive the SNR estimation expression according to computational difference of auto-/cross-correlation. Finally, Monte Carlo simulations are used to verify the proposed method.
    09/2010; 21(9). DOI:10.5515/KJKIEES.2010.21.9.995
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    • "The mechanism used for switching from one mode to the other is currently governed by the threshold limits suggested in the DVB-S2 standards. However, these thresholds are computed for an ideal AWGN channel, while this study extends the computation of these thresholds to a more realistic channel model at EHF band including amplifier non-linearity and variable rain attenuation through rain attenuation time-series that are achieved by extrapolation from experimental measurements in Q/V bands [3],[4]. "
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    ABSTRACT: In this paper an analysis on the use of Adaptive Coding and Modulation (ACM) techniques for EHF satellite communications is presented with reference to the DVB-S2 standard. The analysis is focused on W-band communication links and includes an optimization of DVB-S2 ACM thresholds of the received Signal to Noise Ratio (SNR) for Extremely High Frequency (EHF) links. The simulation model includes rain fading and amplifier nonlinearities which can not be neglected for the performance analysis and optimization of real systems in W-band.
    Aerospace Conference, 2010 IEEE; 04/2010
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    • "Estimation of the signal-to-noise ratio (SNR) at the receiver side is an important task in existing and emerging communication systems, as many of them require SNR knowledge in order to achieve different goals, such as power control or adaptive coding and modulation [1], [2], and soft decoding [3]. Whereas SNR estimation is a relatively easy task with simple modulation formats such as quadrature phase-shift keying (QPSK), the increasing complexity of the modulation schemes used in modern systems poses significant challenges to current methods. "
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    ABSTRACT: The performance of existing moments-based non-data-aided (NDA) estimators of signal-to-noise ratio (SNR) in digital communication systems substantially degrades with multilevel constellations. We propose a novel moments-based approach that is amenable to practical implementation and significantly improves on previous estimators of this class. This approach is based on a linear combination of ratios of certain even-order moments, which allow the derivation of NDA SNR estimators without requiring memory-costly lookup tables. The weights of the linear combination can be tuned according to the constellation and the SNR operation range. As particular case we develop an eighth-order statistics (EOS)-based estimator, showing in detail the statistical analysis that leads to the weight optimization procedure. The EOS-based estimators yield improved performance for multilevel constellations, especially for those with two and three amplitude levels. Monte Carlo simulations validate the new approach in a wide SNR range.
    IEEE Transactions on Signal Processing 04/2010; 58(3-58):1515 - 1526. DOI:10.1109/TSP.2009.2036069 · 2.79 Impact Factor
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