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Proceedings Paper

Landmark-based navigation for airborne sensor systems
Author(s): Bhashyam Balaji; Rajiv Sithiravel; Anthony Damini; Sreeraman Rajan
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Paper Abstract

The challenge of ownship navigation for an airborne platform in the absence of precise navigation information is an important problem. In this paper, the problem is solved using the assumed known GPS locations of landmarks by casting it in a Bayesian state-space framework. It is assumed that no information is available from the navigation sensors. The platform kinematic state is inferred by using a nonlinear filter, such as the extended Kalman filter. The performance is assessed as a function of the density of landmarks and platform manoeuvres in a simulation environment.

Paper Details

Date Published: 17 May 2016
PDF: 9 pages
Proc. SPIE 9842, Signal Processing, Sensor/Information Fusion, and Target Recognition XXV, 984203 (17 May 2016); doi: 10.1117/12.2228302
Show Author Affiliations
Bhashyam Balaji, Defence Research and Development Canada (Canada)
Rajiv Sithiravel, Defence Research and Development Canada (Canada)
Anthony Damini, Defence Research and Development Canada (Canada)
Sreeraman Rajan, Carleton Univ. (Canada)


Published in SPIE Proceedings Vol. 9842:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXV
Ivan Kadar, Editor(s)

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