Title :
The Optimization of the Observation Geometry Using the Passive Measurements
Author :
Qian Zhang ; Li Lin ; Yan Zhao
Author_Institution :
Beijing Aerosp. Control Center, Beijing, China
Abstract :
The optimization of the observation geometry is very important for multi-sensor target tracking. This paper performs analysis of the Fisher information matrix obtained using the passive measurements, and analyzes the influences to the tracking performance by the observation geometry factors like the distance and the angle, therefore obtains the optimal criteria for the sensor selection in target tracking.
Keywords :
optimisation; passive networks; sensor fusion; target tracking; Fisher information matrix; multisensor target tracking; observation geometry; optimization; passive measurements; Aerospace control; Eigenvalues and eigenfunctions; Geometry; Measurement uncertainty; Optimization; Target tracking; Vectors; Passive measurement Observation geometry Fisher information Sensor management;
Conference_Titel :
Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2014 Fourth International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-6574-8
DOI :
10.1109/IMCCC.2014.85
