Conservative Quantization of Covariance Matrices with Applications to Decentralized Information Fusion

Information fusion in networked systems poses challenges with respect to both theory and implementation. Limited available bandwidth can become a bottleneck when high-dimensional estimates and associated error covariance matrices need to be transmitted. Compression of estimates and covariance matric...

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Autori principali:	Christopher Funk, Benjamin Noack, Uwe D. Hanebeck
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2021-04-01
Serie:	Sensors
Soggetti:	covariance quantization decentralized estimation conservative fusion covariance intersection optimal fusion
Accesso online:	https://www.mdpi.com/1424-8220/21/9/3059
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