An iterative approach of parameter estimation for LFM signals

This paper provides a novel method for estimating the parameters of linear frequency modulated (LFM) signals, or the so called chirp signals, based on a modification to the filter bank approach for the maximum likelihood estimation. This method is especially effective in the case of low SNR. By usin...

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Main Authors: Liping Zhang, Yingning Peng, Xiqin Wang, Xiutan Wang
Format: Conference Proceeding
Language:English
Subjects:
Chirp modulation
Filter bank
Frequency estimation
Frequency modulation
Iterative methods
Maximum likelihood estimation
Parameter estimation
Phase estimation
Polynomials
Signal processing
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creator Liping Zhang
Yingning Peng
Xiqin Wang
Xiutan Wang
description This paper provides a novel method for estimating the parameters of linear frequency modulated (LFM) signals, or the so called chirp signals, based on a modification to the filter bank approach for the maximum likelihood estimation. This method is especially effective in the case of low SNR. By using numerical simulations, the advantages of the new approach are demonstrated.
doi_str_mv 10.1109/ICCCAS.2002.1178967
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subjects Chirp modulation
Filter bank
Frequency estimation
Frequency modulation
Iterative methods
Maximum likelihood estimation
Parameter estimation
Phase estimation
Polynomials
Signal processing
title An iterative approach of parameter estimation for LFM signals
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