可见光通信系统干扰消除技术研究

发布时间：2018-01-10 15:06

本文关键词：可见光通信系统干扰消除技术研究　出处：《西安电子科技大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着发光二极管LED(Light Emitting Diode)技术的快速发展和对高速无线通信要求的提高,可见光通信技术逐渐发展起来。它作为一种新型的无线通信手段,得到了国内外研究机构和学者广泛的关注,为无线宽带接入提供了灵活的解决方案,有效地缓解无线通信中频谱资源越来越拥挤的问题[1]。可见光通信技术也用在了智能交通系统中。以LED作为交通灯的可见光通信系统为智能交通系统提出了一种新的通信解决方法。本文是基于LED阵列进行道路与车辆的可见光通信。通过对LED阵列发出的光信号进行强度调制,接收端通过高速相机捕获LED发送的图像,解调出原始的信息,来进行可见光通信。该系统特有的缺点是像素间干扰(IPI)。由于LED的发散和图像传感器像素尺寸的有限,LED不仅影响实际相对应的像素而且影响它周围的像素。我们把这种现象叫做像素间干扰,它引起误码性能的下降。本文主要是研究消除像素间干扰的方法。1.提出了消除像素间干扰的两种频域均衡算法:迫零频域均衡法和最小均方误差频域均衡法。并仿真了两种算法在高斯白噪声信道下的误码性能。可以得出,在像素间干扰严重情况下,这两种频域均衡算法都能改善误码性能。通过比较这两种算法,可以得出,在低信噪比下最小均方误差均衡法比迫零均衡法的性能差,在高信噪比下,最小均方误差均衡法比迫零均衡法的性能要好。2.提出了选择均衡算法。像素间干扰比较小情况下,不均衡比均衡效果好。针对这种情况,提出了选择均衡法,选择均衡法能选择是否进行均衡。仿真了该算法在无背景光情况下和有背景光情况下的误码性能。可以得出,该算法能提高误码性能,抵抗一定程度的背景光噪声。通过仿真和实验,验证了均衡算法能减少像素间干扰,提高系统的误码性能。
[Abstract]:With the rapid development of LED(Light Emitting Diode (LED) technology, the requirement of high-speed wireless communication is improved. As a new type of wireless communication technology, visible light communication technology has been widely concerned by domestic and foreign research institutions and scholars, and provides a flexible solution for wireless broadband access. Effectively alleviate the problem of increasing congestion of Spectrum Resources in Wireless Communication. [1. The visible light communication technology is also used in the intelligent transportation system. A new communication solution based on LED array is proposed for the visible light communication system with LED as the traffic light. The visible light communication between the road and the vehicle is carried out. The intensity modulation of the optical signal from the LED array is carried out. The receiver captures the image transmitted by the LED through a high-speed camera and unmarshals the original information. Because of the divergence of LED and the limited pixel size of image sensor. LED affects not only the actual corresponding pixels but also the pixels around it. We call this phenomenon interpixel interference. This paper mainly studies the methods of eliminating inter-pixel interference. 1. Two frequency domain equalization algorithms are proposed to eliminate inter-pixel interference. Zero-forcing frequency domain equalization method and minimum mean square error frequency domain equalization method. The error performance of the two algorithms in Gao Si white noise channel is simulated. In the case of serious inter-pixel interference, the two frequency domain equalization algorithms can improve the error performance. The minimum mean square error equalization method is worse than the zero forcing equalization method in low signal-to-noise ratio (SNR), and at high signal-to-noise ratio (SNR). The performance of the minimum mean square error equalization method is better than that of the zero forcing equalization method. 2. A selective equalization algorithm is proposed. When the inter-pixel interference is small, the unbalance is better than the equalization effect. A selective equalization method is proposed, which can choose whether to equalize or not. The performance of the algorithm in the case of background light and background light is simulated. It can be concluded that the algorithm can improve the performance of error code. The simulation and experiments show that the equalization algorithm can reduce the interpixel interference and improve the error performance of the system.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.1

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