Iterative site-based modeling for wireless infrared channels

Abstract

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.

A Genetic Algorithm Method for Optical Wireless Channel Control

“…The computational time required for calculation of the impulse response using this iterative method is proportional to k 2 [27], and we will firstly limit ourselves to the a third order impulse response (k = 3), and secondly change the segmentation resolution of the environment for each reflection, setting ∆A 1 = 20, ∆A 2 = 6 and ∆A 3 = 2. It should also be noted that the resultant impulse response in (2) will result in the finite sum of scaled delta functions which need to undergo temporal smoothing by subdividing time into bins of width ∆t, and summing the total power in each bin [25].…”

Modeling and analysis of variable PPM for visible light communications

“…This paper adopts the diffuse channel model to understand the effects of the channel condition in an operating VPPM scheme. By examining previous studies in optical wireless channel models [5][6][7], we propose the multiple exponential channel model given as Figure 1 Operating example of VPPM in case of 75% dimming level. Figure 2 The proposed structure of VLC system based on VPPM.…”

Receiver alignment dependence of a GA controlled optical wireless transmitter

“…The computational time required for calculation of the impulse response using this iterative method is proportional to k 2 [23], and we will firstly limit ourselves to the a third order impulse response (k = 3), and secondly change the segmentation resolution of the environment for each reflection, setting ∆A 1 = 20, ∆A 2 = 6 and ∆A 3 = 2. It should also be noted that the resultant impulse response in (2) will result in the finite sum of scaled delta functions which need to undergo temporal smoothing by subdividing time into bins of width ∆t, and summing the total power in each bin [21].…”