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17 May 2016 Landmark-based navigation for airborne sensor systems
Bhashyam Balaji, Rajiv Sithiravel, Anthony Damini, Sreeraman Rajan
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Proceedings Volume 9842, Signal Processing, Sensor/Information Fusion, and Target Recognition XXV; 984203 (2016) https://doi.org/10.1117/12.2228302
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States
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.
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Bhashyam Balaji, Rajiv Sithiravel, Anthony Damini, and Sreeraman Rajan "Landmark-based navigation for airborne sensor systems", Proc. SPIE 9842, Signal Processing, Sensor/Information Fusion, and Target Recognition XXV, 984203 (17 May 2016); https://doi.org/10.1117/12.2228302
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KEYWORDS
Navigation systems
Navigation systems
Sensors
Synthetic aperture radar
Databases
Global Positioning System
Radar
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