A Hybrid Radio-Optical Wireless System With Efficient Sub-Centimeter Localization for Full-Coverage Indoor Services
A Hybrid Radio-Optical Wireless System With Efficient Sub-Centimeter Localization for Full-Coverage Indoor Services
复制标题
具有高效亚厘米定位的混合无线电光无线系统，可实现全覆盖室内服务
DOI：
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发表时间：
2021
影响因子：
4.7
通讯作者：
T. Koonen
中科院分区：
文献类型：
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作者：
J. Sung;E. Tangdiongga;T. Koonen
无线传输容量需求不断增长。红外光无线通信被认为是未来高速室内应用的一种很有前途的解决方案，因为它可以很容易地与商用的光纤通信生态系统设备提供超过10 GHz的带宽。采用窄波束宽度的IR-OWC小区需要强大的波束操纵和定位功能来动态地将光束精确定位到不同的用户设备(UD)，并且通常具有有限的服务区域。强大的高精度定位功能通常需要复杂的硬件和耗费资源和时间的信号处理，这可能会给通信系统带来严重的经济负担。此外，对于具有扩展服务区域的系统，通过密集间隔的IR-OWC小区完全覆盖整个空间可能是全面的，因此成本很高。在本文中，我们介绍了一种无线-光混合系统，它在特定的热点地区提供高速的IR-OWC服务，并通过Wi-Fi信号的广播来覆盖IR-OWC小区之间的空间差距。这平衡了容量、覆盖范围和成本之间的要求。对于每个IR-OWC单元，提出了基于附加差分运算处理的图像特征匹配，以更有效地处理信号。这些图像是由IP摄像头拍摄的，可以通过Wi-Fi在通信系统上透明传输。基于我们的方案，设计并讨论了一个集成了∼80 Mb/S WIFI并具有本地化功能的10 Gb/S自动波束导引IR-OWC系统。进行了一项独立测试，显示了在180厘米距离上，1厘米UD孔径的定位精度为0.24厘米。我们的处理时间表明，∼的效率比加速稳健特征(SURF)方法提高了50%，并且识别不确定性更小。
Wireless transmission capacity demands are continuously growing. Infrared optical wireless communication (IR-OWC) is considered as a promising solution for the future high-speed indoor applications because it can easily offer more than 10 GHz bandwidth with commercially available devices of the fiber-optic communication eco-systems. An IR-OWC cell employing narrow beam widths requires powerful beam-steering and localization functions to dynamically pinpoint the optical beams to different user devices (UDs), and typically has a limited service area. Powerful localization functions with high accuracy typically require sophisticated hardware and resource- and time-consuming signal processing, which may cause serious economical burdens to the communication system. Besides, in regard of a system with extended service area, it may be comprehensive and thus expensive to fully cover the whole space by densely spaced IR-OWC cells. In this article, we introduce a hybrid radio-optical wireless system, which offers high speed IR-OWC services at specific hotspots, and covers spatial gaps among the IR-OWC cells through broadcasting of Wi-Fi signals. This balances the requirements among capacity, coverage, and cost. For each IR-OWC cell, image feature matching based on processing with additional differential operations is proposed to more efficiently process the signals. The images are captured by IP cameras, and can be transparently transported over the communication system through Wi-Fi. Based on our proposal, a 10 Gb/s automatically beam-steered IR-OWC system integrated with ∼80 Mb/s WiFi and with localization function is designed and discussed. An independent test showing 0.24-cm localization accuracy for a 1-cm UD aperture over 180-cm distance is performed. Our processing time shows ∼50% efficiency improvement to the speeded up robust features (SURF) method, and has less recognition uncertainties.