DocumentCode
406216
Title
A novel sequential estimation algorithm for chirp signal parameters
Author
Xinghao, Zhao ; Ran, Tao ; Siyong, Zhou
Author_Institution
Dept. of Electron. Eng., Beijing Inst. of Technol., China
Volume
1
fYear
2003
fDate
14-17 Dec. 2003
Firstpage
628
Abstract
The paper focuses on multiple parameter estimation of chirp signals in noisy environment. On the basis of analyzing the existing methods, a new sequential estimation method using RAT and FRFT is presented. Moreover, for the constant amplitude estimation, an expression suitable for computation is given. Simulation results verify the effectiveness of the method. The method estimates the parameters in a sequential manner. In order to analyze the noise and error propagation effect to the estimation accuracy. Some Monte Carlo experiments are made under various SNR. The results show that the method has still better estimation performance with a SNR as low as -9 dB.
Keywords
Fourier transforms; Monte Carlo methods; Radon transforms; parameter estimation; signal processing; Monte Carlo experiments; Radon-ambiguity transform; chirp signal parameters; fractional-Fourier transform; multiple parameter estimation; sequential estimation algorithm; Acceleration; Amplitude estimation; Chirp; Computational modeling; Distributed computing; Frequency estimation; Parameter estimation; Radar imaging; Signal to noise ratio; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location
Nanjing
Print_ISBN
0-7803-7702-8
Type
conf
DOI
10.1109/ICNNSP.2003.1279353
Filename
1279353
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