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Covariance intersection

Covariance intersection is an algorithm for combining two or more estimates of state variables in a Kalman filter when the correlation between them… 
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Papers overview

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2019
2019
With the enhancement of the anti-jamming ability of the target, it is difficult to track and strike the target stably and… 
2014
2014
For descriptor systems with unknown covariance, a covariance intersection (CI) fusion robust steady-state Kalman predictor is… 
2014
2014
In a multi-sensor target tracking system, the correlation of the sensors is unknown, and the cross-covariance between the local… 
2013
2013
It is significant to have accurate localization of surgical instruments in navigated minimally invasive surgery. Moreover… 
2013
2013
This paper is concerned with the multichannel autoregressive moving average (ARMA) signal system with colored observation noises… 
2010
2010
The main objective of this paper is to analyze models, techniques, algorithms and infrastructures needed to complete… 
2009
2009
In a distributed estimation system, the fusion center receives the local estimates from sensors and fuses them to be an optimal… 
2008
2008
The accuracy of node localization is crucial for many applications of Distributed Sensor Network(DSN).TDOA and RSS are two… 
2001
2001
Mosaic-based positioning is a paradigm for the simultaneous construction of a photo-mosaic as a visual map, and its use to… 
1997
1997
  • 1997
  • Corpus ID: 13932303
Covariance Intersection (CI) is a major advance over the Kalman Filter for estimation, ltering, and data fusion applications…