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Proceedings Paper

Statistical efficiency of simultaneous target and sensors localization with position dependent noise
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Paper Abstract

This work derives the Cramer-Rao lower bound (CRLB) for an acoustic target and sensor localization system in which the noise characteristics depend on the location of the source. The system itself has been previously examined, but without deriving the CRLB and showing the statistical efficiency of the estimator used. Two different versions of the CRLB are derived, one in which direction of arrival (DOA) and range measurements are available ("full-position CRLB"), and one in which only DOA measurements are available ("bearing-only CRLB"). In both cases, the estimator is found to be statistically efficient; but, depending on the sensor-target geometry, the range measurements may or may not significantly contribute to the accuracy of target localization.

Paper Details

Date Published: 17 May 2012
PDF: 14 pages
Proc. SPIE 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 839203 (17 May 2012); doi: 10.1117/12.918616
Show Author Affiliations
Richard W. Osborne III, Univ. of Connecticut (United States)
Yaakov Bar-Shalom, Univ. of Connecticut (United States)
Jemin George, U.S. Army Research Lab. (United States)
Lance Kaplan, U.S. Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 8392:
Signal Processing, Sensor Fusion, and Target Recognition XXI
Ivan Kadar, Editor(s)

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