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Proceedings ArticleDOI

UWB indoor channel profile identification with orthogonal Hermite pulses

09 Jul 2010-Vol. 6, pp 145-149
TL;DR: Simulation and measurement results are compared and shown as proof of concept that precise channel profiles between different LOS and NLOS conditions can be identified with this combined strategy.
Abstract: Prior to transmission, the best receiver position for optimum signal reception from the transmitter is preferred Unfortunately due to multipath, finding the best receiver position and identifying the channels in indoor environment are very difficult This paper proposes a low complexity parameter to overcome this problem Also, advantage is taken of the UWB (Ultra-Wide Band) physical layer, which has multipath resolution capacity Simulation and measurement results are compared and shown as proof of concept that precise channel profiles between different LOS and NLOS conditions can be identified with this combined strategy Also UWB communication system is realized by modelling UWB signal as Hermite pulses and convolving them with the IEEE 802153a channel models for LOS and different NLOS conditions, namely CM1, CM2, CM3 and CM4, using modified Saleh-Valenzuela (S-V) model
References
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Journal ArticleDOI
TL;DR: A statistical model for the ultra-wide bandwidth (UWB) indoor channel is established based on an extensive measurement campaign in a typical modern office building with 2-ns delay resolution and it is found that the correlation between multipath components is negligible.
Abstract: We establish a statistical model for the ultra-wide bandwidth (UWB) indoor channel based on an extensive measurement campaign in a typical modern office building with 2-ns delay resolution. The approach is based on the investigation of the statistical properties of the multipath profiles measured in different rooms over a finely spaced measurement grid. The analysis leads to the formulation of a stochastic tapped-delay-line (STDL) model of the UWB indoor channel. The averaged power delay profile can be well-modeled by a single exponential decay with a statistically distributed decay constant. The small-scale statistics of path energy gains follow Gamma distributions whose parameters m are truncated Gaussian variables with mean values and standard deviations decreasing with delay. The total received energy experiences a lognormal shadowing around the mean energy given by the path-loss power law. We also find that the correlation between multipath components is negligible. Finally, we propose an implementation of the STDL model and give a comparison between the experimental data and the simulation results.

1,016 citations


"UWB indoor channel profile identifi..." refers methods in this paper

  • ...In each room 25 grid locations are used for different receiver positions [2], within one square meter area and the distance between each grid is 25cm....

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Journal ArticleDOI
TL;DR: The important differences between UWB channels and narrowband wireless channels are pointed out, especially with respect to fading statistics and time of arrival of multipath components.
Abstract: This article describes the modeling of ultrawideband wireless propagation channels, especially for the simulation of personal area networks. The IEEE 802.15.3a standards task group has established a standard channel model to be used for the evaluation of PAN physical layer proposals. We discuss the standard model, the measurements that form its basis, and the possibilities for future improvements. This article points out the important differences between UWB channels and narrowband wireless channels, especially with respect to fading statistics and time of arrival of multipath components. The impacts on the different propagation conditions on system design, like RAKE receiver performance, are elaborated.

888 citations


"UWB indoor channel profile identifi..." refers methods in this paper

  • ...This UWB channel model is calculated based on the modified Saleh-Valenzuela model [4]....

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Journal ArticleDOI
TL;DR: A comprehensive statistical model is described for ultrawideband propagation channels that is valid for a frequency range from 3-10 GHz, and a critical assessment of the applicability of the model and possible generalizations and improvements is presented.
Abstract: A comprehensive statistical model is described for ultrawideband (UWB) propagation channels that is valid for a frequency range from 3-10 GHz. It is based on measurements and simulations in the following environments: residential indoor, office indoor, builtup outdoor, industrial indoor, farm environments, and body area networks. The model is independent of the used antennas. It includes the frequency dependence of the path gain as well as several generalizations of the Saleh-Valenzuela model, like mixed Poisson times of arrival and delay-dependent cluster decay constants. A separate model is specified for the frequency range below 1 GHz. The model can thus be used for realistic performance assessment of UWB systems. It was accepted by the IEEE 802.15.4a Task Group as standard model for evaluation of UWB system proposals. This paper also presents a critical assessment of the applicability of the model and possible generalizations and improvements

730 citations

Journal ArticleDOI
TL;DR: Bit-error-probability performance of a UWB SRAKE receiver, based on measured channels, is given as a function of the signal-to-noise ratio and the number of correlators implemented in the receiver.
Abstract: An ultra-wide bandwidth (UWB) signal propagation experiment is performed in a typical modern laboratory/office building. The bandwidth of the signal used in this experiment is in excess of 1 GHz, which results in a differential path delay resolution of less than a nanosecond, without special processing. Based on the experimental results, a characterization of the propagation channel from a communications theoretic view point is described, and its implications for the design of a UWB radio receiver are presented. Robustness of the UWB signal to multipath fading is quantified through histograms and cumulative distributions. The all RAKE (ARAKE) receiver and maximum-energy-capture selective RAKE (SRAKE) receiver are introduced. The ARAKE receiver serves as the best case (bench mark) for RAKE receiver design and lower bounds the performance degradation caused by multipath. Multipath components of measured waveforms are detected using a maximum-likelihood detector. Energy capture as a function of the number of single-path signal correlators used in UWB SRAKE receiver provides a complexity versus performance tradeoff. Bit-error-probability performance of a UWB SRAKE receiver, based on measured channels, is given as a function of the signal-to-noise ratio and the number of correlators implemented in the receiver.

683 citations

Journal ArticleDOI
TL;DR: This paper investigates time of arrival (ToA) estimation methods for ultra-wide bandwidth (UWB) propagation signals and tests different suboptimal, low-complex techniques based on peak detection to deal with partial overlap of signal paths.
Abstract: This paper investigates time of arrival (ToA) estimation methods for ultra-wide bandwidth (UWB) propagation signals. Different algorithms are implemented in order to detect the direct path in a dense multipath environment. Different suboptimal, low-complex techniques based on peak detection are used to deal with partial overlap of signal paths. A comparison in terms of ranging accuracy, complexity, and parameters sensitivity to propagation conditions is carried out also considering a conventional technique based on threshold detection. In particular, the algorithms are tested on experimental data collected from a measurement campaign performed in a typical office building.

248 citations


"UWB indoor channel profile identifi..." refers result in this paper

  • ...But the CDF can differentiate only LOS and NLOS paths and not between different LOS and NLOS paths, more over it needs estimation algorithm [1] to estimate the channels and the CDF of the rooms looks closer, where we can't differentiate the channels precisely as shown in results, Fig.8 Kurtosis…...

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