Bayesian and hybrid Cramer-Rao bounds for QAM dynamical phase estimation

Yang, Jibin; Geller, Benoît; Wei, Anne

doi:10.1109/icassp.2009.4960329

Cited by 9 publications

(12 citation statements)

References 20 publications

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“…This design is therefore attractive for the design of a multi-standard and multi-mode transceiver and can potentially push the IEEE 802.15.6 WBAN standard to more applications. In the future we aim at including in our multi-standard receiver a soft decoder [15]- [16] to both take fully advantage of a soft syn chronization [17]- [18] and of a cross-layer design [19]- [23].…”

Section: Resultsmentioning

confidence: 99%

Proposal of a multi-standard transceiver for the WBAN Internet of Things

Yang

Geller

Arbi

2016

2016 International Symposium on Signal, Image, Video and Communications (ISIVC)

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In this paper, an original physical layer design of the IEEE 802.15.6 narrowband receiver is proposed, including frame synchronization, timing synchronization, and carrier frequency synchronization. This proposed single-carrier system can be incorporated into a conventional multi-carrier system of the IEEE 802.11 transceiver by reusing its hardware resource. Simulation results show that the performances of the proposed system approach closely to the theoretical performances.

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Section: Resultsmentioning

confidence: 99%

Proposal of a multi-standard transceiver for the WBAN Internet of Things

Yang

Geller

Arbi

2016

2016 International Symposium on Signal, Image, Video and Communications (ISIVC)

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“…so that taking into account (17), (18) (21) It is important to note that differently from [11]X - [13], we take the second derivative to calculate the FIM so as to reduce the complexity of the computation with the help of equation (21). Then the FIM can be approximately written as a diagonal matrix and one has:…”

Section: Bsystem Modelmentioning

confidence: 99%

“…However, in modern communications, it is common to take into account a time-varying phase noise mostly due to oscillator 1 When a deterministic parameter such as the frequency offset is taken into consideration, the hybrid CRB becomes relevant. HCRBs were derived in the case of NDA signals in [20], [21]X and were applied as benchmarks in [22], [23]. Differently from X[11] X-X [13], [19], [20]X, the goal and the contribution of the paper is to give for the dynamic time-varying phase, both the BCRB and the HCRB in the case of coded and QAM modulated signals.…”

mentioning

confidence: 99%

Approximate Expressions for Cramer-Rao Bounds of Code Aided QAM Dynamical Phase Estimation

Yang¹,

Geller²,

Wei³

2009

2009 IEEE International Conference on Communications

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“…In our simulations, we thus assume that the phase ambiguity problem is solved. We evaluate the MSEs in the centre position of the block after 3 F/B iterations over 5 10 Monte-Carlo trials. The block length  for BPSK and QPSK is 60, and is 800 for the 16QAM constellation.…”

Section: Bsystem Modelmentioning

confidence: 99%

Smoothing PLLs for QAM Dynamical Phase Estimation

Yang

Geller

Herzet

et al. 2009

2009 IEEE International Conference on Communications

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International audienceThis paper presents a near-optimum, low-complexity, fixed-interval smoothing algorithm that approaches the performance of an optimal smoother for the price of two low-complexity sequential estimators (two PLLs). The proposed Smoothing PLL (S-PLL) algorithm is easy to implement and fits the Cramer-Rao bounds over a wide range of signal-to-noise ratios. Moreover we show that, compared to the conventional forward loop, the proposed scheme allows to have a large gain of several dBs and is able to track frequency offsets. Due to the increasing requirements of modern communication systems to face the physical channel (low signal-to-noise ratio, high data rates), phase estimation is more challenging than ever before. Since phase errors rapidly degrade the overall performance of communication systems, synchronization has recently become one of the most challenging tasks that a digital receiver has to cope with. Noels et al [1],[2]X derived a maximum likelihood (ML) algorithm for the problem of constant phase estimation, and then applied a first-order and a second order phase-locked loop (PLL) based algorithm for the coded BPSK and QPSK dynamical phase estimation. The corresponding performances are limited both by the on-line bound and by a non-zero phase MSE floor. On the contrary, this paper deals with the non data aided (NDA) estimation of a time-varying phase and proposes an off-line Smoothing PLL (S-PLL) algorithm. To assess the performance of such algorithms, Bayesian and hybrid Cramér-Rao Bounds (BCRB and HCRB) associated to this dynamical phase synchronization problem have already been considered in some recent contributions X[3]XX-[6]X and clearly show the superiority of the off-line scenario [7]

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Bayesian and hybrid Cramer-Rao bounds for QAM dynamical phase estimation

Cited by 9 publications

References 20 publications

Proposal of a multi-standard transceiver for the WBAN Internet of Things

Proposal of a multi-standard transceiver for the WBAN Internet of Things

Approximate Expressions for Cramer-Rao Bounds of Code Aided QAM Dynamical Phase Estimation

Smoothing PLLs for QAM Dynamical Phase Estimation

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