NDLI: The limits of extended Kalman filtering for pulse train deinterleaving

Content Provider	IEEE Xplore Digital Library
Author	Conroy, T. Moore, J.B.
Copyright Year	1997
Description	Author affiliation: Dept. of Syst. Eng., Australian Nat. Univ., Canberra, ACT, Australia (Conroy, T.)
Abstract	If more than one pulse train is transmitted over the same communication channel, a challenge is to separate them for source identification at the receiver. This is known as pulse train deinterleaving, and is clearly a fundamental problem in the study of discrete-event systems. We present an approach for deinterleaving pulse trains and estimating their periods using an extended Kalman filter (EKF). A form of smoothing of the discontinuities is proposed so that the EKF approach becomes attractive. The advantage of this EKF approach is that it is less computationally expensive than most previously proposed methods. The method proposed appears to give useful results for up to seven or so pulse trains, particularly when there is some a priori information on the pulse frequencies, which can be obtained using computations of order Nlog N.
Starting Page	3369
Ending Page	3374
File Size	541493
Page Count	6
File Format	PDF
ISBN	0780341872
ISSN	01912216
DOI	10.1109/CDC.1997.652367
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-12-12
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kalman filters Filtering Communication channels Smoothing methods Systems engineering and theory Discrete event systems Jitter Noise robustness Radar detection Stochastic resonance
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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