Zero-knowledge real-time indoor tracking via outdoor wireless directional antennas

Thadpong Pongthawornkamol, Shameem Ahmed, K. Nahrstedt, A. Uchiyama
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引用次数: 11

Abstract

WiFi localization and tracking of indoor moving objects is an important problem in many contexts of ubiquitous buildings, first responder environments, and others. Previous approaches in WiFi-based indoor localization and tracking either assume prior knowledge of indoor environment or assume many data samples from location-fixed WiFi sources (i.e. anchor points). However, such assumptions are not always true, especially in emergency scenarios. This paper explores the possibility of real-time indoor localization and tracking without any knowledge of indoor environment and with real-time data samples from only few anchor points outside the building. By using a small set of synchronized directional antennas as outdoor anchor points to actively scan in various directions, a moving device inside the building can be localized and tracked from the received signal in real-time manner. The paper proposes an angle-of-arrival estimator for accurate localization and adaptive per-antenna angular scheduling for real-time indoor tracking. The validation results from real experiment and simulation yield effectiveness and accuracy of the proposed schemes.
通过室外无线定向天线进行零知识实时室内跟踪
WiFi定位和室内运动物体的跟踪在无处不在的建筑物、急救人员环境等许多环境中都是一个重要的问题。以前基于WiFi的室内定位和跟踪方法要么假设室内环境的先验知识,要么假设来自固定位置的WiFi源(即锚点)的大量数据样本。然而,这种假设并不总是正确的,特别是在紧急情况下。本文探讨了在不了解室内环境的情况下,利用建筑物外几个锚点的实时数据样本进行室内实时定位和跟踪的可能性。通过使用一小组同步定向天线作为室外锚点,向各个方向主动扫描,可以根据接收到的信号实时定位和跟踪建筑物内的移动设备。本文提出了一种用于精确定位的到达角估计器和用于实时室内跟踪的自适应单天线角度调度。实际实验和仿真结果验证了所提方案的有效性和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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