Parallel Kalman filtering for real-time signal identification
Joint Authors
al-Jawhar, Walid Amin Mahmud
Sharif, Asma K.
Source
Iraqi Journal of Computer, Communications and Control Engineering
Issue
Vol. 6, Issue 3 (31 Dec. 2006), pp.1-8, 8 p.
Publisher
Publication Date
2006-12-31
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Electronic engineering
Information Technology and Computer Science
Topics
Abstract EN
The applicability of Kalman filter (KF) to real-time signal processing problems is limited by the relatively complex mathematical operations necessary in computing Kalman filtering algorithms.
However, with the rapid development of fast processing/memory devices that has offered a new research direction in high-speed real-time, systematic implementation on KF.
Presently, the research trend is to achieve a major improvement in computational speed that will come from the concurrent use of many processor cells.Parallel processing usually makes a major impact in real-time signal identification.
These require high-speed computations, which must be performed on continuous data streams.
This result here in the stimulation of novel architectures for parallel Kalman filter (PKF).
The implementation of the PKF is achieved on a simulated radar signal that works in real-time by using the simulink package.
Key words: Signal identification; Real-time signal processing; Parallel processing; Parallel Kalman filter; Simulink package.
American Psychological Association (APA)
al-Jawhar, Walid Amin Mahmud& Sharif, Asma K.. 2006. Parallel Kalman filtering for real-time signal identification. Iraqi Journal of Computer, Communications and Control Engineering،Vol. 6, no. 3, pp.1-8.
https://search.emarefa.net/detail/BIM-279278
Modern Language Association (MLA)
al-Jawhar, Walid Amin Mahmud& Sharif, Asma K.. Parallel Kalman filtering for real-time signal identification. Iraqi Journal of Computer, Communications and Control Engineering Vol. 6, no. 3 (Dec. 2006), pp.1-8.
https://search.emarefa.net/detail/BIM-279278
American Medical Association (AMA)
al-Jawhar, Walid Amin Mahmud& Sharif, Asma K.. Parallel Kalman filtering for real-time signal identification. Iraqi Journal of Computer, Communications and Control Engineering. 2006. Vol. 6, no. 3, pp.1-8.
https://search.emarefa.net/detail/BIM-279278
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 7-8
Record ID
BIM-279278