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Fast Parameter Estimation Algorithms for Linear FM Signals

O'Shea, Peter J. (1994) Fast Parameter Estimation Algorithms for Linear FM Signals. In IEEE International Conference on Acoustics, Speech and Signal Processing, 1994. ICASSP-94, 19-22 April 1994.

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Abstract

This paper describes computationally efficient algorithms for estimating the parameters of a complex linear FM signal in white Gaussian noise. Algorithm I deals with the high signal to noise ratio (SNR) case (above -4dB for asymp totically long signals). Algorithms I1 and 111 are for the low SNR range. Algorithm 11 is based on the maximum likelihood (ML) approach, but takes advantage of the numerical conditioning of the parameter estimation problem to yield a computationally efficient algorithm. Algorithm 111 also has its roots in the ML procedure, but uses a suboptimal implementation to avert the difficult 2D search procedure. Simulations are provided to illustrate performance.

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3 citations in Web of Science®
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ID Code: 1868
Item Type: Conference Paper
DOI: 10.1109/ICASSP.1994.389860
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 1994 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 14 Jul 2005
Last Modified: 23 Jun 2011 05:17

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