Characterizing the Accuracy of a Self-Synchronized Reverse-GPS Wildlife Localization System

Adi Weller Weiser, Yotam Orchan, Ran Nathan, Motti Charter, Anthony J. Weiss, Sivan Toledo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We characterize the accuracy of a wildlife localization system that is based on the reverse-GPS or time-of-arrival (TOA) principle, in which radio receivers at known locations collaborate to determine the location of a transmitter attached to a wild animal. We describe the system in detail and show that it produces accurate location estimates in real settings and over long periods of time. Localization errors of wild animals carrying our transmitters have standard deviation of about 5m and mean of 5-15m. If we restrict the system to operate in the center of the receiver's band-pass filters, the mean error drops to about 5m. We also show how to reliably quantify the error in each individual location estimate. In addition to the characterization of accuracy, we introduce three technical innovations in the system. First, a method to model the error of individual time-of- arrival measurements, enabling correct weighing of the data to estimate locations and allowing estimation of the covariance matrix of each location estimate. Second, extensive use of known- position beacon transmitters, to synchronize the clocks of receivers (radio-frequency TOA localization require accurate clocks), to characterize and continuously monitor the performance of the system, and to model arrival- time-estimation errors. Third, we estimate the covariance matrix of each localization.

Original languageEnglish
Title of host publication2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509008025
DOIs
StatePublished - 26 Apr 2016
Event15th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2016 - Vienna, Austria
Duration: 11 Apr 201614 Apr 2016

Publication series

Name2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2016 - Proceedings

Conference

Conference15th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2016
Country/TerritoryAustria
CityVienna
Period11/04/1614/04/16

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