Bearings-only TMA on manoeuvring target: a Gaussian mixture approach

This paper considers the problem of manoeuvring target tracking with bearings-only measurements collected by a single source. We use the switching multiple models description where the target motion is described by a finite collection of m models, each of one corresponding to a possible evolution, a...

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Veröffentlicht in:	IET Seminar on Target Tracking and Data Fusion: Algorithms and Applications S. 127 - 136
1. Verfasser:	Laneuville, D
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Stevenage IET 2008
Schlagworte:	Filtering methods in signal processing Interpolation and function approximation (numerical analysis) Markov processes Signal processing theory Markov chain approximation theory Gaussian mixture approach switching multiple models description filtering theory target tracking Markov processes approximation scheme bearings-only measurements optimal filter target tracking manoeuvring
ISBN:	0863419100, 9780863419102
Online-Zugang:	Volltext
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