Le Nam Tuan, Jang Yeong Min
Department of Electronics Engineering, Kookmin University, Seoul 02707, Korea.
Sensors (Basel). 2019 Jul 26;19(15):3290. doi: 10.3390/s19153290.
Localization has become an important aspect in a wide range of mobile services with the integration of the Internet of things and service on demand. Numerous mechanisms have been proposed for localization, most of which are based on the estimation of distances. Depending on the channel modeling, each mechanism has its advantages and limitations on deployment, exhibiting different performances in terms of error rates and implementation. With the development of technology, these limitations are rapidly overcome with hybrid systems and enhancement schemes. The successful approach depends on the achievement of a low error rate and its controllability by the integration of deployed products. In this study, we propose and analyze a new distance estimation technique employing photography and image sensor communications, also named optical camera communications (OCC). It represents one of the most important steps in the implemented trilateration localization scheme with real architectures and conditions of deployment which is the second our contribution for this article. With the advantages of the image sensor hardware integration in smart mobile devices, this technology has great potential in localization-based optical wireless communication.
随着物联网和按需服务的集成,定位已成为广泛的移动服务中的一个重要方面。已经提出了许多用于定位的机制,其中大多数基于距离估计。根据信道建模,每种机制在部署上都有其优点和局限性,在错误率和实现方面表现出不同的性能。随着技术的发展,这些局限性通过混合系统和增强方案迅速得到克服。成功的方法取决于通过集成已部署的产品来实现低错误率及其可控性。在本研究中,我们提出并分析了一种采用摄影和图像传感器通信的新距离估计技术,也称为光学相机通信(OCC)。它代表了在具有实际架构和部署条件的三边测量定位方案中实施的最重要步骤之一,这是我们对本文的第二项贡献。凭借智能移动设备中图像传感器硬件集成的优势,该技术在基于定位的光无线通信中具有巨大潜力。