UWB receiver designs based on a gaussian-laplacian noise-plus-MAI model

Beaulieu, N.C.; Niranjayan, S.

doi:10.1109/tcomm.2010.03.070333

Cited by 62 publications

(40 citation statements)

References 24 publications

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“…Unless mentioned otherwise, it is assumed in all the following simulations that the bit energies for the desired user and multiple interfering users are E (1) = 1 and E (2) = E (3) = · · · = E (N v ) , respectively, and 500 training bits are used for estimating the GNL parameters via MME. In order that the PDF-based receiver for UWB multiple access systems has a good system performance, the tails of the PDF have to be fatter than those of the Gaussian PDF [8]. It is observed that the GNL-MME PDF has the thickest tail among the PDFs considered and closely approximates an actual distribution.…”

Section: Generalised Normal-laplace Model For Non-gaussian Noisementioning

confidence: 99%

“…As it is not easy to compare the computational loads of each stochastic approach with a specific criteria, the analysis on complexity and comparison with other methods are absent in the existing studies such as [6][7][8][9]. Thus, we will discuss the complexity by using approximated comparison (comparing used operations to obtain each PDF) between the GLM and GG distributions and the suggested GNL approach in this work.…”

Section: Complexity Of Stochastic Approachesmentioning

confidence: 99%

“…In each Rake finger of the receiver, the ith frame signal is correlated with the ith frame template of the UWB pulse. Under an assumption of a perfect time synchronisation at the receiver side with t 1 = 0, the correlator output of the ith frame of the lth Rake finger is expressed as [8] …”

Section: Gnl-based Rake Receiver In Multipath Fading Channelsmentioning

confidence: 99%

“…The p-order metric receiver (p-omr) based on the GG approximation has been shown to outperform the CMF UWB receiver and SL UWB receiver. The statistics of the MAI mixed with additive white Gaussian noise (AWGN) can be modelled by a Gaussian-Laplacian sum distribution [8]. Based on this model, a Gaussian-Laplacian mixture (GLM) UWB receiver has been studied in [8].…”

Section: Introductionmentioning

confidence: 99%

“…The statistics of the MAI mixed with additive white Gaussian noise (AWGN) can be modelled by a Gaussian-Laplacian sum distribution [8]. Based on this model, a Gaussian-Laplacian mixture (GLM) UWB receiver has been studied in [8]. It is reported that the GLM UWB receiver surpasses the performance of the CMF UWB receiver and attains or exceeds the performance of the SL UWB receiver depending on the region of SNR values.…”

Section: Introductionmentioning

confidence: 99%

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Novel multiuser ultra‐wideband receiver based on adaptive modelling of generalised normal‐Laplace distribution

Kim²

2014

IET Communications

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This study takes a new receiving approach to detect an ultra-wideband (UWB) signal in the presence of multiple access interference (MAI). A generalised normal-Laplace (GNL) distribution is exploited for designing a novel multiuser UWB receiver. To more accurately comply with real statistical behaviours of the MAI-plus-noise in time-hopping multiple access UWB systems, a modified parameter estimator, which is an adaptive method of moments estimation (aMME), is proposed. In the existing studies, the analysis about GNL model shows appropriate results for UWB simulations, while it requires heavy complexity to obtain the precise distribution because of no existence of a closed-form probability density function (PDF) expression. To practically evaluate the GNL PDF, the fast Fourier transform, which can significantly reduce the computational complexity is considered. The GNL using the aMME outperforms the conventional matched filter UWB receiver, the soft-limiting receiver, the Gaussian-Laplace mixture receiver, the p-order metric receiver and the previous GNL receivers, especially in high SNR ranges. Furthermore, the presented GNL receiving method is applied to each finger of the conventional Rake receiver for signal detection in IEEE UWB multipath channels. The proposed Rake receiver based on the GNL distribution performs better than the conventional Rake receiver in multipath fading channels.

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Section: Generalised Normal-laplace Model For Non-gaussian Noisementioning

confidence: 99%

Section: Complexity Of Stochastic Approachesmentioning

confidence: 99%

Section: Gnl-based Rake Receiver In Multipath Fading Channelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Novel multiuser ultra‐wideband receiver based on adaptive modelling of generalised normal‐Laplace distribution

Kim²

2014

IET Communications

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Impact of TH‐UWB interference on MB‐OFDM UWB systems: interference modeling and performance analysis

Sarabchi

Nerguizian

2015

Wireless Communications

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In this paper, the coexistence issue between multiband-orthogonal frequency-division multiplexing (MB-OFDM) and timehopping ultra-wideband (TH-UWB) networks is widely analyzed. For this purpose, to study and model the TH-UWB interference, an analytical framework which describes key features of the interference distribution is provided. The interference distribution is studied in the context of TH-UWB's signaling parameters. Our results reveal that the interference distribution highly depends on its time-hopping parameters. Therefore, choosing proper time-hopping parameters leads to less destructive interferences. The Generalized Gaussian and the Symmetric-˛-Stable (S˛S) distributions are used to model the interference-plus-noise signal. The maximum likelihood and a characteristic function-based regression-type methods are adopted to estimate parameters of Generalized Gaussian and S˛S distributions, respectively. Moreover, the interference channel effects on the impulsive behavior of the TH-UWB signal is studied. It is shown that impulsive behavior of the faded interference signals highly depends on the channel time-dispersiveness. Furthermore, an exact performance of a multiband-orthogonal frequency-division multiplexing system impaired by a TH-UWB system is derived. The comparison of the analytical performance, the empirical simulation, and the approximation results show that both approximation methods are valid for low interference-to-noise-ratio, while S˛S provides a more accurate approximation for high interference-to-noise-ratio.

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Empirical Likelihood-Based Channel Estimation with Laplacian Noise

Zhao

et al. 2013

The Proceedings of the Second International Conference on Communications, Signal Processing, and Systems

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UWB receiver designs based on a gaussian-laplacian noise-plus-MAI model

Cited by 62 publications

References 24 publications

Novel multiuser ultra‐wideband receiver based on adaptive modelling of generalised normal‐Laplace distribution

Novel multiuser ultra‐wideband receiver based on adaptive modelling of generalised normal‐Laplace distribution

Impact of TH‐UWB interference on MB‐OFDM UWB systems: interference modeling and performance analysis

Empirical Likelihood-Based Channel Estimation with Laplacian Noise

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