Experimental characterization of non-directed indoor infrared channels

Kahn, Joseph M.; Krause, William J.; Carruthers, Jeffrey B.

doi:10.1109/26.380210

Cited by 265 publications

(163 citation statements)

References 7 publications

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“…feedback resistor and is minimized by choosing as large as possible, while still achieving a sufficiently large preamplifier cutoff frequency. 23 The second term in (17) arises from the FET white channel noise. It increases as , so that it tends to become the dominant noise source in receivers for very high bit rates.…”

Section: E Photodetectors and Preamplifiersmentioning

confidence: 99%

Wireless Infrared Communications

Barry

1994

486

333

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Section: E Photodetectors and Preamplifiersmentioning

confidence: 99%

Wireless Infrared Communications

Barry

1994

486

333

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“…Tournament selection does not require proportional fitness assignments as in (15), and uses a lower population reducing the memory overhead. However, tournament selection is considerably more exploitative in nature, losing 50% of the solutions through the selection process alone [32], possibly finding a non-optimal solution.…”

Section: The Genetic Algorithmmentioning

confidence: 99%

“…It is also known [21,15] that, for an intensity modulation, direct detection (IM/DD) channel, where the movement of transmitters, receivers or objects in the room is slow compared to the bit rate of the system, no multipath fading occurs, and, as such, can be deemed an LTI channel. The impulse response h(t; S i , R j ) is given by [21,22] …”

Section: Impulse Response Calculationsmentioning

confidence: 99%

“…We define our system environment to be an arbitrary indoor rectangular room for which the majority of surfaces exhibit a fully diffuse reflection characteristic that can be described by Lambert's reflection model [15]. A diffusion spot geometry is formed using either multiple optical sources [16], or a 2-D array of either vertical cavity surface emitting Laser diodes (VCSELs) or resonant cavity LEDs (RCLEDs), flip-chip bonded to CMOS driver circuitry [17,18].…”

Section: Source Receiver and Reflector Modelmentioning

confidence: 99%

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Receiver alignment dependence of a GA controlled optical wireless transmitter

Higgins¹,

Green²,

Leeson³

2009

J. Opt. A: Pure Appl. Opt.

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Abstract. A genetic algorithm controlled multispot transmitter is demonstrated to be capable of optimising the received power distribution for single element receivers in fully diffuse mobile indoor optical wireless systems. By dynamically modifying the intensity of individual diffusion spots, the transmitter is capable of compensating for changes in receiver alignment, user movement and surface reflectivity characteristics, with negligible impact to bandwidth and RMS delay spread. The dynamic range, referenced against the peak received power, can be reduced by up to 27% when the room is empty, and up to 26% with user movement and variable receiver alignment. Furthermore, received power perturbation, induced by user movement, is reduced from 10% to 2.5%. This method shows potential for providing a highly adaptable solution of overcoming channel variability whilst also reducing receiver complexity.

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“…The conventional approaches are based on the ray tracing techniques [3][4][5], which take the properties of optical waves into consideration. The method launches a bundle of rays in every direction in the space and tracks the ray paths.…”

Section: Introductionmentioning

confidence: 99%

A Photon Modeling Method for the Characterization of Indoor Optical Wireless Communication

Lee¹

2009

PIER

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Abstract-In this paper, an analysis method for optical wave propagation based on photon model is presented for the characterization of optical wireless communication environment. In contrast to radio waves, optical waves have very short wavelengths, so that material properties become important and often cause diffuse reflections. Channel models including diffuse reflections and absorption effects due to material surface textures make conventional electromagnetic wave analysis methods based on ray tracing consume enormous time. To overcome these problems, an analysis method using photon model is presented that approximates light intensity by density of photons. The photon model also ensures that simulation time is within a predictable limit and the accuracy is proportional to the number of total photons used in the simulation.

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Experimental characterization of non-directed indoor infrared channels

Cited by 265 publications

References 7 publications

Wireless Infrared Communications

Wireless Infrared Communications

Receiver alignment dependence of a GA controlled optical wireless transmitter

A Photon Modeling Method for the Characterization of Indoor Optical Wireless Communication

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