Accession Number:

ADA467100

Title:

Simultaneous Localization, Calibration, and Tracking in an ad Hoc Sensor Network

Descriptive Note:

Technical rept.

Corporate Author:

MASSACHUSETTS INST OF TECH CAMBRIDGE COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE LAB

Report Date:

2005-04-26

Pagination or Media Count:

19.0

Abstract:

We introduce Simultaneous Localization and Tracking SLAT, the problem of tracking a target in a sensor network while simultaneously localizing and calibrating the nodes of the network. Our proposed solution, LaSLAT, is a Bayesian filter providing on-line probabilistic estimates of sensor locations and target tracks. It does not require globally accessible beacon signals or accurate ranging between the nodes. When applied to a network of 27 sensor nodes, our algorithm can localize the nodes to within one or two centimeters.

Subject Categories:

  • Operations Research
  • Computer Programming and Software
  • Target Direction, Range and Position Finding
  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE