DocumentCode
1625387
Title
Transputer parallel implementation algorithms for multisensor Kalman filtering
Author
Dancea, Loan
Author_Institution
Dept. de Comput. Sci., Quebec Univ., Hull, Que., Canada
Volume
1
fYear
1997
Firstpage
178
Abstract
The objective of this paper is to analyze some factors influencing the performance of different farmer parallel programs, developed for the hierarchical Kalman filtering. During our research we systematically modified a number of hardware and/or software parameters which characterize the farmer and we have shown that these modifications has a reduced influence to linear speed-up rate
Keywords
Kalman filters; computational complexity; discrete time filters; filtering theory; hierarchical systems; parallel algorithms; parallel architectures; pipeline processing; sensor fusion; software performance evaluation; farmer parallel programs; hierarchical Kalman filtering; linear speed-up rate; multisensor Kalman filtering; parallel implementation algorithms; transputer; Covariance matrix; Equations; Filtering algorithms; Kalman filters; Noise figure; Noise measurement; Parallel algorithms; Signal processing algorithms; State estimation; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 1997. IMTC/97. Proceedings. Sensing, Processing, Networking., IEEE
Conference_Location
Ottawa, Ont.
ISSN
1091-5281
Print_ISBN
0-7803-3747-6
Type
conf
DOI
10.1109/IMTC.1997.603938
Filename
603938
Link To Document