The hybrid power line communication (PLC) and visible light communication (VLC) technology is a brand-new research topic in the world, and has broad application prospects. This project is aiming at solving the key technical problems in the hybrid PLC and VLC systems, including the signal transmission mechanism, the efficient and reliable coded modulation scheme, the relay scheme design, etc. Firstly, we investigate and build the channel and noise models in the hybrid systems. Secondly, the coded modulation scheme approaching the channel capacity with limitations of both peak and average power is studied to resist the severe noise. Based on the sparse properties of the PLC and VLC channels in the frequency and time domains, respectively, we study the design method for time-frequency training sequence and frame structure, and the joint time-frequency channel estimation method based on compressive sensing. Finally, we optimize the relay scheme to make the hybrid system support multiple input and multiple output scheme and the network topology sensing technique, which further improves the system capacity and performance. Through the investigation of the above-mentioned key scientific problems, the project will provide the theoretical foundations and key technologies for this brand-new area, which aims to outperform the most advanced international research level in both academic and industrial areas.
电力线和可见光联合通信技术在国际上是较新的课题,具有广阔的应用前景。本项目重点解决宽带电力线通信(PLC)与可见光通信(VLC)联合通信系统中的信号传输机理、高效可靠编码调制方案以及中继方案设计等关键技术问题。首先,研究并构建联合通信系统的信道和噪声模型;其次,针对联合通信系统恶劣的噪声环境,研究峰值功率和均值功率双受限约束条件下的逼近信道容量的编码调制方案;针对联合通信系统复杂的信道条件,基于PLC/VLC信道的频域/时域稀疏特性,研究最优时频二维训练序列和帧结构设计方法,以及基于压缩感知的时频联合信道估计方法;最后,通过中继方案的优化设计使得联合通信系统支持多输入多输出和网络拓扑感知技术,进一步提升系统容量和性能。本项目拟通过上述关键科学问题的研究,为我国在这一新兴领域的学术和产业化水平上达到国际一流提供理论基础和技术储备。
面向未来可见光通信推广与应用,为克服其组网方案不明确、传输机制不清晰、信道估计不准确、噪声抑制不可靠等问题,本项目主要开展电力线与可见光通信融合系统网路架构、多业务传输、高效帧结构、信道估计、干扰抑制等方面的研究。本项目累计发表杂志与会议论文40余篇,其中SCI 收录15篇;申请中国发明专利15项,PCT专利两项;作为召集人牵头中国电力线通信、可见光通信各一项国家标准的制定。相关研究成果应用于国家电网公司定位巡检与工业互联网数据采集,获得中国教育部科技进步二等奖、中国光学工程学会科技进步二等奖。
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数据更新时间:2023-05-31
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