无线定位与测向是工业4.0、智能制造、智能家居等智能经济的重要支撑技术。然而，GPS定位信号很难穿透场内区域，WiFi室内定位精度低、角度分辨率差，因此不能满足上述新型应用对于高精度定位与测向的需求。可见光信号频率高、直射能力强、频谱资源丰富、空间分辨率高，是绝佳的无线定位信号资源。.本项目研究的可见光定位与测向是在可见光通信基础之上开发的无线定位技术，可在无线数据传输的同时，实现定位与测向功能，是极具潜力的室内定位技术。然而，可见光信号受到非视距传播、小尺度衰落的干扰；这些因素是可见光定位突破亚毫米级定位精度的主要障碍。为了解决上述技术瓶颈，打破可见光定位的性能天花板效应，本项目将从定位算法设计、理论性能极限、性能制约规律、定位系统的资源优化机制等五个方面开展研究，不仅为可见光定位的算法设计、性能分析提供统一的理论框架，也为可见光定位系统的功率分配、波束赋形、系统部署提供解决方案。

Wireless positioning and orientation is an indispensable support for location-based services such as industry 4.0, intelligent manufacturing, smart housing, robotic navigation. Yet, satellite signal of Beidou localization system is difficult to reach indoor areas, and conventional WiFi-based localization has limited resolution in location and angle domain. Hence, these localization methods cannot satisfy requirements of the above applications on high localization accuracy...Visible light signal features high frequency, rich bandwidth and fine spatial resolution, and hence it is a satisfactory signal source of wireless localization. Visible light-based positioning and orientating (VLPO) is built on visible light communications. Thus, VLPO can achieve wireless localization and orientation at the same time of wireless data transmission, which is a promising solution to indoor localization. However, visible light signals undergo small-scale fading channel and non-line-of-sight propagation, which is the bottleneck of VLPO for achieving sub-millimeter localization accuracy. To address the above technical challenges and to break through the localization-accuracy-ceiling effect, in this project, VLPO will be studied in terms of algorithm mechanism, fundamental performance limits, resource optimization of VLPO systems. We do not only provide a unified theoretical framework for VLPO algorithm design and performance limit analysis, but also give guidelines for system deployment and resource allocation to fundamentally improve the performance limits of VLPO systems.