ToneTrack: Leveraging Frequency-Agile Radios for Time-Based Indoor Wireless Localization
By Jie Xiong, K. Sundaresan, Kyle Jamieson. ACM/IEEE International Conference on Mobile Computing and Networking, 2015
346 citations recorded by the source corpus.
Indoor localization of mobile devices and tags has received much attention recently, with encouraging fine-grained localization results available with enough line-of-sight coverage and hardware infrastructure. Some of the most promising techniques analyze the time-of-arrival of incoming signals, but the limited bandwidth available to most wireless transmissions fundamentally constrains their resolution. Frequency-agile wireless networks utilize bandwidths of varying sizes and locations in a wireless band to efficiently share the wireless medium between users. ToneTrack is an indoor location system that achieves sub-meter accuracy with minimal hardware and antennas, by leveraging frequency-agile wireless networks to increase the effective bandwidth. Our novel signal combination algorithm combines time-of-arrival data from different transmissions as a mobile device hops across different channels, approaching time resolutions previously not possible with a single narrowband channel. ToneTrack's novel channel combination and spectrum identification algorithms together with the triangle inequality scheme yield superior results even in non-line-of-sight scenarios with one to two walls separating client and APs and also in the case where the direct path from mobile client to an AP is completely blocked. We implement ToneTrack on the WARP hardware radio platform and use six of them served as APs to localize Wi-Fi clients in an indoor testbed over one floor of an office building. Experimental results show that ToneTrack can achieve a median 90 cm accuracy when 20 MHz bandwidth APs overhear three packets from adjacent channels.
Subfields: Electrical and Electronic Engineering, Ocean Engineering, Signal Processing
View Paper: https://www.semanticscholar.org/paper/af2beeea9c0df5964d924389bfc4855f78db4da2
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Citations in the corpus
- Dynamic-MUSIC: accurate device-free indoor localization (2016, background): “11ac supporting a maximum of 160 MHz channel on 5 GHz band, some recent works [46, 48] propose to combine adjacent smaller channels to form a virtual larger channel to increase the resolution.”
- Decimeter-Level Localization with a Single WiFi Access Point (2016, background): “In fact, past proposals typically use four or five access points to achieve tens of centimeters accuracy [30] [32] [48] [50].”
- LiFS: low human-effort, device-free localization with fine-grained subcarrier information (2016, background): “We have witnessed an ever-increasing roll-out of locationbased applications, such as indoor localization [45, 43], shop navigation [27, 1], augmented reality [29, 11], etc, for which location information is the key.”
- Widar2.0: Passive Human Tracking with a Single Wi-Fi Link (2018, background): “However, as there are multiple links in typical indoor environments, it may group tracking results of these links and filter out outliers with NLoS conditions [40].”
- A Survey of Indoor Localization Systems and Technologies (2017, methodology): “ToneTrack combines the ToF data obtained from the channel or frequency hopping of the user device.”
- A Survey on Wireless Indoor Localization from the Device Perspective (2016, background): “ToneTrack [Xiong et al. 2015] combines measurements from multiple channels to derive a high-resolution channel impulse response and TOAs, and proposes a spectrum identification scheme to eliminate the impact of NLOS paths.”