Innovative Indoor Geolocation Using RF Multipath Diversity


Dynamic scenario on the 3rd floor of Atwater Kent Laboratory at WPI.

 

Summary

In a BAA 04-031 project between CWINS/WPI and Draper Laboratory, the primary objective is to enable accurate, robust localization and tracking of people/assets/objects in indoor environments.

This will be accomplished by developing a signal processing methodology and algorithms which address several fundamental limitations of existing active, passive, or aided concepts.  This development will be based on localization and tracking of electronic tags capable of receiving and retransmitting (with or without alteration) signals received from known signal sources located within a local network.  The key innovation is to more fully exploit the diversity of measurement phenomena and unique waveform characteristics of indoor RF multipath signals.  Measurements of received signal strength, angle of arrival, time of arrival, time difference of arrival and Doppler will be exploited, as appropriate, for each individual multipath signal element.

CWINS works on the analysis and modeling of the multipath and performance of traditional algorithms and Draper Laboratory works on algorithms exploiting multipath diversity.

Principal Investigators:

Research Staff (CWINS):

Sponsor: DARPA through a subcontract from Draper Laboratory

Duration: Started March 2005

Publications:


Estimated position tracking versus the actual track, same building.