Designing Time-Hopping Ultrawide Bandwidth Receivers for Multiuser Interference Environments

Beaulieu, N.C.; Young, David J.

doi:10.1109/jproc.2008.2008782

Cited by 88 publications

(60 citation statements)

References 64 publications

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“…The result in this paper assumes the Gaussian approximation to the MAI, IPI, ICI and ISI. It was reported in [38] that better PDFs of the MAI for TH-PPM DRAFT exist for small N u and small N s but Gaussian approximation is valid for large N u and N s in [39] and [40], in dense multipath even for single user with small N s [40], [41], as well as for DS systems and TH systems with large numbers of interfering users [38]. It was also reported in [42] that a Laplacian approximation to the IPI, ICI and ISI gives better accuracy than the Gaussian appproximation for large SNRs while they have similar accuracy when the SNR is less than 10 dB.…”

Section: Numerical Results and Discussionmentioning

confidence: 93%

“…One sees that the analytical results track the trends of the simulation results well and that the approximation error is small for small values of the number of users. However, in general, the approximation error is large due to the lower duty of cycle [38]. Also, one sees that a larger value of N h results in a larger channel capacity.…”

Section: Numerical Results and Discussionmentioning

confidence: 98%

See 1 more Smart Citation

Hard-Input–Hard-Output Capacity Analysis of UWB BPSK Systems With Timing Errors

Zhao

Chen

Green

2012

IEEE Trans. Veh. Technol.

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Section: Numerical Results and Discussionmentioning

confidence: 93%

Section: Numerical Results and Discussionmentioning

confidence: 98%

Hard-Input–Hard-Output Capacity Analysis of UWB BPSK Systems With Timing Errors

Zhao

Chen

Green

2012

IEEE Trans. Veh. Technol.

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“…For a multiuser UWB system, the performance is mainly limited by inherent noise and interferences such as MAI and ISI [4].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, Gaussian approximation is not fully efficient for UWB systems. Several alternative distributions for approximating impulsive noise in UWB systems are motivated and compared [4,5]. These distributions have in common that they are more impulsive than Gaussian approximation, with a greater area in the tails of the probability density function (pdf) compared to a Gaussian pdf [5].…”

Section: Introductionmentioning

confidence: 99%

Multi-user Communication Based OFDM-UWB System under Gaussian and Non-Gaussian Noisy Channel

Matary¹,

Hagras²,

Abdel-Kader³

2017

AJEEE

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For a multiuser Ultra Wide Band (UWB) system, the performance is mainly limited by inherent noise and interferences such as Multiple Access Interference (MAI) and Inter Symbol Interference (ISI) which are poorly approximated by a Gaussian distribution because of their impulsive nature. A combination between Orthogonal Frequency Division Multiplexing (OFDM) and Interleave Division Multiple Access (IDMA) has been considered as an efficient technique due to its bandwidth efficiency, and robustness against MAI and ISI. Moreover, OFDM-IDMA technique has the ability to allow frequency diversity and performance improvement with the help of efficient FEC coding technique such as Low Density Parity Check (LDPC) code. Therefore, this paper addresses the performance of LDPC-coded-IDMA-based OFDM-UWB communication system under Gaussian and non-Gaussian noisy channels. Three different models as Symmetric Alpha Stable (SαS), Laplacian model and Gaussian Mixture Model (GMM), have been introduced for approximating the non-Gaussian noise which are more realistic for UWB system. Simulation results show that LDPC-coded OFDM-IDMA system is robust against noise and interferences in UWB indoor environment, and achieves good performance under Cauchy (SαS) model rather than other nonGaussian models with simple Chip-By-Chip (CBC) iterative receiver. Furthermore, the proposed system gains a significant performance improvement compared with the un-coded OFDM-IDMA-UWB system under the studied noise models.

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“…Ultrawide bandwidth (UWB) wireless communication technology with merits such as high-speed transmission, low-cost transceiver circuitry and material penetration, has attracted a great deal of attention among researchers over the past few years [1][2][3][4][5][6][7]. In a multiuser UWB wireless communication system, a sequence of sub-nanosecond duration pulses are transmitted with information inserted in the polarity or the location of these pulses and an additional pseudorandom time shift is added to each pulse starting point to allow different users to share the same channel [8].…”

Section: Introductionmentioning

confidence: 99%

Th-Uwb Receiver Based on Two PDFS Approximation in Multiuser Systems

Chen¹,

Gao²,

Huagang³

et al. 2013

PIER

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Abstract-As the distribution of the multiuser interference plus noise in time-hopping ultrawide bandwidth (TH-UWB) systems can not be reliably approximated by Gaussian probability density function (PDF), the bit error rate (BER) performance of the conventional matched filter receiver in TH-UWB multiuser systems degrades. In this paper we study a novel TH-UWB receiver based on two PDFs approximating the distribution of the multiuser interference plus noise. Firstly we investigate the difference between the distribution of the multiuser interference plus noise when the received pulse is collided by interfering pulses and that when it is not. Then two PDFs are developed to approximate the distribution of multiuser interference plus noise in these two cases respectively instead of using one PDF for both cases as done in other research works. Based on these two PDFs, a new detection scheme of TH-UWB receiver is proposed. The results show that BER performance of the proposed receiver is improved by 50% or more as compared to the conventional matched filter receiver, blinking receiver, Gaussian mixture receiver and p-order receiver using simulations.

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Designing Time-Hopping Ultrawide Bandwidth Receivers for Multiuser Interference Environments

Cited by 88 publications

References 64 publications

Hard-Input–Hard-Output Capacity Analysis of UWB BPSK Systems With Timing Errors

Hard-Input–Hard-Output Capacity Analysis of UWB BPSK Systems With Timing Errors

Multi-user Communication Based OFDM-UWB System under Gaussian and Non-Gaussian Noisy Channel

Th-Uwb Receiver Based on Two PDFS Approximation in Multiuser Systems

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