Tracking Multiple Targets Using Bearing-Only Measurements in Underwater Noisy Environments

This article handles tracking multiple targets using bearing-only measurements in underwater noisy environments. For tracking multiple targets in underwater noisy environments, the Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter provides good performance with its low computational lo...

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Hlavní autor:	Jonghoek Kim
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-07-01
Edice:	Sensors
Témata:	underwater multiple target tracking Gaussian mixture probability hypothesis density GM-PHD bearing-only tracking
On-line přístup:	https://www.mdpi.com/1424-8220/22/15/5512
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