DUSTIN: Algorithm for calculation of impulse response on IR wireless indoor channels

López-Hernández, F.J.; Betancor, M.J.

doi:10.1049/el:19971224

Cited by 51 publications

(23 citation statements)

References 2 publications

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“…As was done in [12], we generalize [11] by allowing for the inclusion of reflecting objects inside the space. In [13], a time-slicing approach is used rather than one based on reflections. In [14], a fast geometric approach is used for calculating impulse responses, but the approach is still limited by computational complexity at higher reflection orders.…”

Section: Introductionmentioning

confidence: 99%

Iterative site-based modeling for wireless infrared channels

Carruthers

Kannan²

2002

IEEE Trans. Antennas Propagat.

120

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Abstract-We describe an iterative site-based method for estimating the impulse response of wireless infrared channels. The method can efficiently account for multiple reflections of any order. A simple geometrical model of indoor environments is presented which includes interior features such as partitions, people, and furniture, thus permitting accurate evaluation of shadowing effects. For a reflection order of three, the iterative method is over 90 times faster than the existing recursive technique. A computer implementation is described and used to demonstrate the efficiency and accuracy of the method.

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Section: Introductionmentioning

confidence: 99%

Iterative site-based modeling for wireless infrared channels

Carruthers

Kannan²

2002

IEEE Trans. Antennas Propagat.

120

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“…In the same year, Lopez-Hernandez et al [13] proposed a method called the 'DUSTIN algorithm' for faster computation of impulse response on IR wireless indoor channels. Here the calculation is done in three stages-(i) initialization, (ii) wall processing, and (iii) the calculation of photodiode response.…”

Section: Review Of Indoor Channel Modelsmentioning

confidence: 99%

Estimation of Channel Impulse Response Using Modified Ceiling Bounce Model in Non-Directed Indoor Optical Wireless Systems

Smitha

Sivashanmugam

John

2007

Wireless Pers Commun

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In this paper a modification to the traditional Ceiling bounce model is proposed for use with non-directed indoor optical wireless systems which takes into account the transceiver separation distances as well as their actual positions while computing the impulse response. This modification is done by combining the results of DC gain computation and the statistical model along with the traditional Ceiling bounce approach. We show that the results of the proposed modification agree better than the traditional Ceiling bounce model with the reported experimental results of Barry et al

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“…As discussed above, a conventional angle diversity receiver consists of multiple photodetectors that are oriented in various directions, where each receiving element usually employs a band-pass filter and nonimaging concentrator, such as a compound parabolic concentrator (CPC) or hemispheric lens. In order to estimate the impulse response in IR wireless indoor channels, several simulation methods have been put forth [10,11], but all of them share the same problem, namely, the intensive computational effort. However, we make use of a Monte Carlo ray-tracing algorithm [12,13], which presents a lower computational cost than previous methods, especially when a high temporal resolution and a large number of reflections are required.…”

Section: Introductionmentioning

confidence: 99%

Design considerations of conventional angle diversity receivers for indoor optical wireless communications

Pérez

Mendoza

Jiménez

et al. 2013

J Wireless Com Network

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A conventional angle diversity receiver uses multiple receiving elements that are oriented in different directions, where each element employs its own filter and nonimaging concentrator, such as a compound parabolic concentrator (CPC) or hemispheric lens. In this paper, a study of the design of a conventional receiver structure using angle diversity that offers improved performance with respect to the infrared channel characteristics is presented. To this end, a recently proposed model for the effective signal collection area of a conventional angle diversity receiver that more closely approximates real behaviour than the ideal model is used. The inclusion of this model in a Monte Carlo ray-tracing algorithm allows us to investigate the effects of conventional receiver parameters on the main infrared channel parameters, such as path loss and rms delay spread. Furthermore, in order to determine the number of receiver elements, the outage probability and the average error probability are also considered. Based on the results, a conventional angle diversity receiver composed of seven elements is proposed, with one of them oriented towards the ceiling, and six angled at a 56°elevation with a 60°separation in azimuth. For each element, a CPC with a 50°field of view must be used.

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DUSTIN: Algorithm for calculation of impulse response on IR wireless indoor channels

Cited by 51 publications

References 2 publications

Iterative site-based modeling for wireless infrared channels

Iterative site-based modeling for wireless infrared channels

Estimation of Channel Impulse Response Using Modified Ceiling Bounce Model in Non-Directed Indoor Optical Wireless Systems

Design considerations of conventional angle diversity receivers for indoor optical wireless communications

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