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Noisy Network Localization via Optimal Measurement Refinement Part 1: Bearing-Only Orientation Registration and Localization

Bishop, Adrian; Shames, Iman


The problem of localizing or tracking a number of targets using a network of bearing-only sensors is considered. To solve such a high-level problem, each sensor report must be successfully recorded in a common spatial reference frame and the position of the sensors must be determined. In practice, however, the reports from individual sensors are characterized by both random (called noise) and systematic errors (called biases). Typical bias errors are axis misalignments (due to azimuth and...[Show more]

CollectionsANU Research Publications
Date published: 2011
Type: Conference paper
Source: IFAC World Congress 2011 proceedings
DOI: 10.3182/20110828-6-IT-1002.01286


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