Title :
Data fusion by optimal sensor switching
Author :
Skafidas, E. ; Evans, R.J. ; Logothetis, A.
Author_Institution :
Center for Sensor Signal & Inf. Process., Melbourne Univ., Parkville, Vic., Australia
Abstract :
In this paper we consider the problem of selecting the optimal measurement sequence from two or more sensors given communication bandwidth limitations. In particular the constraints are such that only one sensor may be used at any one time. Our aim is to switch these sensors to obtain optimal (mean square error sense) estimates of the state of a linear continuous time Gauss-Markov system
Keywords :
Gaussian processes; Markov processes; least mean squares methods; optimisation; sensor fusion; state estimation; communication bandwidth limitations; data fusion; least mean square errors; linear continuous time Gauss-Markov system; optimal measurement sequence; optimal sensor switching; optimal state estimates; Bandwidth; Communication switching; Covariance matrix; Dynamic programming; Equations; Gaussian processes; Noise measurement; Sensor fusion; Switches; Time measurement;
Conference_Titel :
Data Fusion Symposium, 1996. ADFS '96., First Australian
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-3601-1
DOI :
10.1109/ADFS.1996.581091
