V2V-VLC接收机阳光直射噪声的自适应最小化

K. Illanko, Xavier N Fernando
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引用次数: 4

摘要

由于阳光直射引起的散粒噪声是导致车对车可见光通信(V2V-VLC)信噪比下降的主要原因。这种射击噪音可以通过接收器“不看”太阳光线来简单地减少。然而,这必须在不降低接收光信号功率的情况下完成,这是一个3-D跟踪问题,发射器和接收器都在移动。本文分析了由此产生的优化问题,找到了使瞬时信噪比最大化的最佳角度。这取决于光信号的入射角以及太阳光的入射角。注意,除了快速角度变化之外,迁移率还增加了随机的附加噪声。本文采用扩展卡尔曼滤波,在存在噪声的情况下减小误差和可能的最佳角度漂移。这就形成了实时车对车可见光通信的自适应信噪比优化系统。我们还提出了信噪比优化问题的解析解。在阳光明媚的弯曲高速公路上的仿真结果表明,实际的最优信噪比与扩展卡尔曼滤波器的结果非常接近。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Minimization of Direct Sunlight Noise on V2V-VLC Receivers
Shot noise due to direct sunlight is the major cause of SNR degradation in vehicle to vehicle visible light communications (V2V-VLC) outdoors. This shot noise can be simply reduced by the receiver ‘looking away’ from the sun rays. However, this has to be done without reducing the received optical signal power, which is a 3-D tracking problem, where both transmitter and receiver are moving. This paper analyzes the resulting optimization problem and finds the optimal angle at which the instantaneous SNR is maximized. This depends on the incident angle of the optical signal as well as the incident angle of the sunlight. Note, the mobility adds random additive noise in addition to rapid angle variations. The paper uses an extended- Kalman filter to minimize the error and possible drift in the optimal angle in the presence of noisy measurements. This results in an adaptive SNR optimization system for real-time vehicle to vehicle visible light communications. We have also presented the analytical solution to the SNR optimization problem. Simulation results, on a curved freeway on a bright sunny day, demonstrate close matching between the actual optimal SNR and that achieved by the extended-Kalman filter.
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