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基于改进蚁群优化算法的多LED通信光功率优化
引用本文:刘保林,陈浩楠,李逸超. 基于改进蚁群优化算法的多LED通信光功率优化[J]. 半导体光电, 2017, 38(5): 736-739. DOI: 10.16818/j.issn1001-5868.2017.05.024
作者姓名:刘保林  陈浩楠  李逸超
作者单位:重庆邮电大学自动化学院,重庆,400065;合肥工业大学仪器科学与光电工程学院,合肥,230009
基金项目:重庆市研究生科研创新项目(CYS15172);
摘    要:针对室内可见光通信(VLC)中接收平面接收光功率和接收光照强度分布不均匀的问题,提出了一种基于改进的蚁群算法对其进行优化.通过建立发射端和接收端的信道模型,对放置在天花板上的4×4的LED阵列发射端配备功率调节因子,并利用改进的蚁群算法对功率调节因子进行优化.针对传统蚁群算法存在的收敛速度慢、容易停滞等问题,提出了采用自适应信息素更新的策略.仿真结果表明,利用所提方法优化后,接收光功率和照明强度的波动范围分别在93.523~50.453 μW和367.846~192.798 Lux,接收平面上接收到的光功率和照明强度分布不均匀的问题得到了明显改善.

关 键 词:可见光通信  改进的蚁群算法  光功率  光照强度
收稿时间:2017-03-08

Optical Power Optimization Based on Modified Ant Colony Algorithm for Multi-LED Communication
LIU Baolin,CHEN Haonan,LI Yichao. Optical Power Optimization Based on Modified Ant Colony Algorithm for Multi-LED Communication[J]. Semiconductor Optoelectronics, 2017, 38(5): 736-739. DOI: 10.16818/j.issn1001-5868.2017.05.024
Authors:LIU Baolin  CHEN Haonan  LI Yichao
Abstract:For indoor visible communication (VLC),the distribution of receiving light power and receiving illumination intensity are uneven distributed,for which an optimized method based on improved ant colony optimization algorithm was proposed.Built was the non visible link channel gain model between the transmitting and receiving terminals,and power adjustment factor was equipped on the 4 × 4 LED array transmitter resettled on the ceiling,and ant colony algorithm was used to optimize power regulation factor.Traditional ant colony algorithm usually presents slow convergence speed and stagnation phenomenon,thus an adaptive pheromone update strategy was proposed.Simulation results show that the range of optimized receiving light power and illumination intensity is 93.523~50.453 μW and 367.846~192.798 Lux,respectively.The uneven distribution of the received light power and illumination distribution is dramatically improved.
Keywords:VLC  improved ant colony algorithm  light power  light intensity
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