Adaptive Consensus-Based Unscented Information Filter for Tracking Target with Maneuver and Colored Noise
Distributed state estimation plays a key role in space situation awareness via a sensor network. This paper proposes two adaptive consensus-based unscented information filters for tracking target with maneuver and colored measurement noise. The proposed filters can fulfill the distributed estimation...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-07-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/14/3069 |