The cricket compass for context-aware mobile applications
Proceedings of the 7th annual international conference on Mobile computing and networking
Radio interferometric geolocation
Proceedings of the 3rd international conference on Embedded networked sensor systems
Design of a wireless sensor network platform for detecting rare, random, and ephemeral events
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
The Lighthouse Location System for Smart Dust
Proceedings of the 1st international conference on Mobile systems, applications and services
Robust system multiangulation using subspace methods
Proceedings of the 6th international conference on Information processing in sensor networks
International Journal of Ad Hoc and Ubiquitous Computing
Spinning beacons for precise indoor localization
Proceedings of the 6th ACM conference on Embedded network sensor systems
REALWSN'10 Proceedings of the 4th international conference on Real-world wireless sensor networks
Using RF received phase for indoor tracking
Proceedings of the 6th Workshop on Hot Topics in Embedded Networked Sensors
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Several localization algorithms exist for wireless sensor networks that use angle of arrival measurements to estimate node position. However, there are limited options for actually obtaining the angle of arrival using resource-constrained devices. In this paper, we describe a radio interferometric technique for determining bearings from an anchor node to any number of target nodes at unknown positions. The underlying idea is to group three of the four nodes that participate in a typical radio interferometric measurement together to form an antenna array. Two of the nodes transmit pure sinusoids at close frequencies that interfere to generate a low-frequency beat signal. The phase difference of the measured signal between the third array node and the target node constrains the position of the latter to a hyperbola. The bearing of the node can be estimated by the asymptote of the hyperbola. The bearing estimation is carried out by the node itself, hence the method is distributed, scalable and fast. Furthermore, this technique does not require modification of the mote hardware because it relies only on the radio. Experimental results demonstrate that our approach can estimate node bearings with an accuracy of approximately 3° in 0.5 sec.