Frequency response and path loss measurements of indoor channel

Zaghloul, H.; Morrison, G.C.; Fattouche, M.

doi:10.1049/el:19910635

Cited by 58 publications

(13 citation statements)

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“…An analyze of Table I reveal similar values to that ones found in [3], [6], [7][8] analised in different bandwidths at corridors fact that provide no bandwidth dependency exist in path loss. …”

Section: Robusteness Of Uwb Signalsupporting

confidence: 79%

Measurement and Analyze of UWB Channel temporal Dispersion

Barros¹,

Vieira²,

Siqueira³

Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.

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This paper presents the results of an ultrawideband measurement campaign carried out in different indoor environment with 850 MHz of bandwidth. This measurement procedure allows us to characterize the smallscale statistics of the channel. Hence, the channel temporal dispersions analysis was done. The temporal dispersions are assessed in terms of mean delay, delay spread and coherence bandwidth. The UBW robustness and path loss was also evaluated.

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Section: Robusteness Of Uwb Signalsupporting

confidence: 79%

Measurement and Analyze of UWB Channel temporal Dispersion

Barros¹,

Vieira²,

Siqueira³

Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.

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“…A typical channel measurement technique used in indoor propagation is the frequency domain channel sounding [6], [7]. As shown in [6], this technique uses a vector network analyzer to control a synthesized frequency sweeper, and uses an S-parameter test set to monitor the frequency response of the channel. The frequency domain channel is then converted to the time domain channel impulse response using the inverse discrete Fourier transform.…”

Section: Venus Express Mock-upmentioning

confidence: 99%

UWB radio channel characterization and design for intra spacecraft communication

Heuvel

Romme

Dufour

et al. 2013

2013 IEEE International Conference on Communications (ICC)

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ESA is investigating wireless cable replacement for intra-spacecraft (IS) applications to reduce cable weight, and add flexibility to the subsystem layout. The low emission limit and robustness to highly reflective environments make UWB a potential candidate for cable replacement. Therefore, to validate these assumptions, channel measurements have been conducted in a representative spacecraft; the ESA Venus Express mockup, which is divided in separate compartments/cavities connected by openings. Channel measurements that cover the entire 3 to 10 GHz UWB spectrum, are conducted for all cavity combinations of the Venus Express. Channel statistics are derived from the measurements. Moreover, the raw channel measurements are used in a hardware-true physical layer (PHY) simulator, based on current Holst Centre -IMEC UWB hardware platform supporting IEEE 802.15.4a standard. The used hardware specification are from the non-coherent setting, employing power detection and integrate and dump in RX for easy synchronization in a highly reflective environment, insensitivity to clock jitter, and robustness against clock offsets at cost of reduced sensitivity. The PHY results correspond well to the outage probability derived from the channel measurements when taking the actual noncoherent setting receiver hardware sensitivity into account. Since most power is in the scattered power, the most dominating factor in IS UWB communication is not the actual position or distance between the antennas, but the minimum number of openings between the cavities. The low mean loss of the measured radio channel combined with the immunity of the UWB air-interface to small-scale-fading, ensures that the signal is always well above the noise floor of the non-coherent setting of the current Holst Centre -IMEC hardware.

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“…2, measures the complex transfer function of the radio channel at 201 discrete frequency points between 900 and 1000 MHz over a time period of 100 ms. For noise reduction purposes ten such sweeps are averaged at each measurement location. A minimum three-term Blackman-Harris [3] window is applied to each measured transfer function and its inverse discrete Fourier transform is computed to obtain the equivalent impulse response for the radio channel. The 30 dB resolution of the impulse response functions obtained via processing of the network analyzer measurements is 25 ns.…”

Section: Descrifton Of the Channel Measurement Techniquesmentioning

confidence: 99%

“…One of the reported techniques involves the use of a sliding correlator at the receiver [l] and results in a measured estimate of the channel impulse response. The other technique utilizes a network analyzer [2], [3] to measure the transfer function of the channel. Because each technique requires the use of expensive equipment and considerable development and calibration time, it is important to demonstrate that the results from the two techniques are equivalent so that researchers can use either, depending on the type of equipment most readily available.…”

Section: Introductionmentioning

confidence: 99%

A comparison of two radio propagation channel impulse response determination techniques

Tholl¹,

Fattouche²,

Builtitude³

et al. 1993

IEEE Trans. Antennas Propagat.

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Absfract-A comparison of two radio propagation channel impulse response determination techniques is described. Presented are typical impulse response and transfer functions obtained from each measurement system. Also included for comparison are average impulse response envelopes and cumulative probability distributions for the rms delay spread of static indoor radio channels calculated from 120 measurements using each system. The comparisons show good agreement between results.

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Frequency response and path loss measurements of indoor channel

Cited by 58 publications

References 0 publications

Measurement and Analyze of UWB Channel temporal Dispersion

Measurement and Analyze of UWB Channel temporal Dispersion

UWB radio channel characterization and design for intra spacecraft communication

A comparison of two radio propagation channel impulse response determination techniques

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