DocumentCode :
3168607
Title :
An iterative approach of parameter estimation for LFM signals
Author :
Zhang, Liping ; Peng, Yingning ; Wang, Xiqin ; Wang, Xiutan
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Volume :
2
fYear :
2002
fDate :
29 June-1 July 2002
Firstpage :
1054
Abstract :
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.
Keywords :
chirp modulation; filtering theory; frequency modulation; iterative methods; maximum likelihood estimation; parameter estimation; signal processing; LFM signals; chirp signals; filter bank approach; iterative approach; linear frequency modulated signals; low SNR; maximum likelihood estimation; numerical simulations; parameter estimation; signal processing; Chirp modulation; Filter bank; Frequency estimation; Frequency modulation; Iterative methods; Maximum likelihood estimation; Parameter estimation; Phase estimation; Polynomials; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Circuits and Systems and West Sino Expositions, IEEE 2002 International Conference on
Print_ISBN :
0-7803-7547-5
Type :
conf
DOI :
10.1109/ICCCAS.2002.1178967
Filename :
1178967
Link To Document :
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