Cincotta Stefanie, Neild Adrian, Helmerson Kristian, Zenere Michael, Armstrong Jean
Manufacturing Research Unit, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Clayton, VIC 3168, Australia.
Department of Electrical and Computer Systems Engineering, Monash University, Clayton, VIC 3800, Australia.
Sensors (Basel). 2024 Sep 17;24(18):6006. doi: 10.3390/s24186006.
Despite the many potential applications of an accurate indoor positioning system (IPS), no universal, readily available system exists. Much of the IPS research to date has been based on the use of radio transmitters as positioning beacons. Visible light positioning (VLP) instead uses LED lights as beacons. Either cameras or photodiodes (PDs) can be used as VLP receivers, and position estimates are usually based on either the angle of arrival (AOA) or the strength of the received signal. Research on the use of AOA with photodiode receivers has so far been limited by the lack of a suitable compact receiver. The quadrature angular diversity aperture receiver (QADA) can fill this gap. In this paper, we describe a new QADA design that uses only three readily available parts: a quadrant photodiode, a 3D-printed aperture, and a programmable system on a chip (PSoC). Extensive experimental results demonstrate that this design provides accurate AOA estimates within a room-sized test chamber. The flexibility and programmability of the PSoC mean that other sensors can be supported by the same PSoC. This has the potential to allow the AOA estimates from the QADA to be combined with information from other sensors to form future powerful sensor-fusion systems requiring only one beacon.
尽管精确的室内定位系统(IPS)有许多潜在应用,但目前还不存在通用的、随时可用的系统。迄今为止,许多IPS研究都是基于使用无线电发射器作为定位信标。可见光定位(VLP)则使用LED灯作为信标。相机或光电二极管(PD)都可以用作VLP接收器,位置估计通常基于到达角度(AOA)或接收信号的强度。到目前为止,由于缺乏合适的紧凑型接收器,关于将AOA与光电二极管接收器结合使用的研究受到了限制。正交角分集孔径接收器(QADA)可以填补这一空白。在本文中,我们描述了一种新的QADA设计,它只使用三个现成的部件:一个象限光电二极管、一个3D打印孔径和一个可编程片上系统(PSoC)。大量实验结果表明,这种设计在房间大小的测试室内能提供准确的AOA估计。PSoC的灵活性和可编程性意味着同一PSoC可以支持其他传感器。这有可能使来自QADA的AOA估计与来自其他传感器的信息相结合,从而形成未来仅需一个信标的强大传感器融合系统。