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
Link To Document :
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