Abstract
Aiming at the problem of uneven illuminance distribution in traditional indoor optical communication systems, this paper proposes a square + elliptical layout, using simulated annealing particle swarm algorithm to optimize the spacing of LED light sources, and optimize the uniformity of system illuminance and signal-to-noise ratio. The simulation results show that the optimized square + elliptical layout illumination ranges from 359.25 lx to 451.05 lx, and the mean square error reaches 12.66 lx. Signal noise ratio is between 18.54 dB and 20.75 dB, and the mean square error is 0.39 dB. Compared with the traditional square and elliptical layout, the illumination performance and communication performance are improved clearly, which provides a new reference scheme for indoor light source layout.
Highlights
S INGLE With the rapid development of information technology in recent years, the demand for wireless communication is gradually increasing
The function can be expressed as 1 f (x1, x2, y1, y2, d) = f1 + α f2 (10) Where f1 is the mean square error of illuminance, and f2 is the mean value of the signal-to-noise ratio of the receiving plane
In order to study the influence of the number of LEDs in the ellipse on the performance of the system, this paper studies the illuminance and signal-to-noise ratio of the system when N is equal to 60-120
Summary
S INGLE With the rapid development of information technology in recent years, the demand for wireless communication is gradually increasing. In order to realize the application of indoor visible light communication, it is necessary to arrange the light source. Zhao Li [10] et al proposed an LED array with light strips, by searching for the optimal spacing between the light strips and the optimal spacing of the LED array, to achieve the optimization of the light source layout. Most of the research focuses on finding the optimal distance between LEDs. Few people optimize the layout of light sources by controlling the number of LEDs. This paper proposes a square + ellipse layout method through adaptive simulated annealing particles. The group algorithm seeks the optimal distance between LEDs, and at the same time finds the optimal number of LEDs in the elliptical layout, so as to optimize indoor lighting performance and communication performance while reducing system power consumption
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