DocumentCode
3228817
Title
Self-adaptive frequency estimation algorithm of improving liquid level measurement precision of LFMCW radar
Author
Zhu, Lei ; Dong, Liang ; Liu, Shu-Dong ; Sun, Dao-Li
Author_Institution
IEEE Conference Publishing, Univ. of Qiqihar, Qiqihar, China
fYear
2010
fDate
8-11 May 2010
Firstpage
1626
Lastpage
1628
Abstract
Based on the Fast Fourier Transform(FFT) of sine signal sampling sequence, this article proposed a self - adaptive frequency estimation method using multi - spectral line information which is near the peak of spectral map. To solve the interpolation direction error of rectangular windows Rife ratio method, combining with triangular method, the new method self-adaptively selects different methods according to the different frequency. Experimental simulation results show that the new method has high estimation accuracy and small calculation amount, and is less affected by the signal - to - noise ratio (SNR), and is suitable for real - time signal processing in the low SNR.
Keywords
CW radar; FM radar; fast Fourier transforms; frequency estimation; level measurement; radar signal processing; signal sampling; FFT; LFMCW radar; fast Fourier transform; interpolation direction error; linear frequency modulated continuous wave radar; liquid level measurement precision; multispectral line information; real-time signal processing; rectangular window Rife ratio method; self-adaptive frequency estimation algorithm; signal-to-noise ratio; sine signal sampling sequence; triangular method; Chirp modulation; Error correction; Frequency estimation; Interpolation; Level measurement; Noise level; PSNR; Radar measurements; Signal processing algorithms; Signal to noise ratio; LFMCW radar; Low SNR; Rectangular windows Rife ratio method; Self-adaptive algorithm; Triangular method;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwave and Millimeter Wave Technology (ICMMT), 2010 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5705-2
Type
conf
DOI
10.1109/ICMMT.2010.5524826
Filename
5524826
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