IEEE.org| IEEE Xplore Digital Library| IEEE Standards| IEEE Spectrum| More Sites

Cart (Loading....) | Create Account | 

Close category search window
Author Searchbeta |  Advanced Search  |  Preferences |  Search Tips  |  More Search Options  
 
Browse Conference Publications > Future Generation Communicati ... Help

Novel Parameter Estimation Method for Chirp Signals Using Bowtie Chirplet and Discrete Fractional Fourier Transform

Full Text Sign-In or Purchase

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing! close button
puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Mostayed, A. ; Dept. of Electr. Eng., Kongju Nat. Univ., Kongju ; Sikyung Kim ; Sajib, S.Z.K.

A new parameter estimation method for linear chirp signal is proposed. This method utilizes the Discrete Fractional Fourier Transform (DFRFT) along with Bowtie Chirplet Transform to estimate the amplitude and phase parameters of multi-component chirp signals. DFRFT is used for estimating amplitude parameter whereas the chirp rate and initial frequency are estimated using Chirplet Transform. Performance of the proposed method in noise is analyzed by Monte- Carlo simulation for different Signal to Noise Ratio (SNR). Good performance was achieved at SNR as low as -10 dB.

Published in:
Future Generation Communication and Networking Symposia, 2008. FGCNS '08. Second International Conference on  (Volume:3 )

Date of Conference: 13-15 Dec. 2008

Page(s):
23 - 26
E-ISBN :
978-0-7695-3546-3
Print ISBN:
978-1-4244-3430-5
INSPEC Accession Number:
10575015
Conference Location :
Sanya
Digital Object Identifier :
10.1109/FGCNS.2008.26
Product Type:
Conference Publications

IEEE Account

Purchase Details

Profile Information

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.