Quadratic Correlation Time Delay Estimation Algorithm Based on Kaiser Window and Hilbert Transform

There is a tiny difference between the main peak and side peaks after the traditional quadratic correlation calculation in the time-delay estimation of passive acoustic positioning system. It is easy to lead to a wrong peak value when the system resolution is low or mutations caused by noises occur...

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Bibliographic Details
Published in2016 Sixth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC) pp. 927 - 931
Main Authors Changjun Sun, Lijing Li, Wen Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2016
Subjects
Acoustics
Attenuation
Correlation
Delay effects
Estimation
Hilbert transform
Kaiser Window
quadratic correlation
Signal to noise ratio
time-delay estimation
Transforms
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Summary:There is a tiny difference between the main peak and side peaks after the traditional quadratic correlation calculation in the time-delay estimation of passive acoustic positioning system. It is easy to lead to a wrong peak value when the system resolution is low or mutations caused by noises occur near the side peaks. In order to weaken the influence of the quadratic correlation side peaks, the method of using the characteristic of the Kaiser window to improve the weighting way is proposed. Using Hilbert transform to sharpen the correlation peak can make up the drawback of correlation peak widened by the Kaiser window. The experimental simulation results show that this method can effectively enhance anti-noise ability of time-delay estimation.
DOI:10.1109/IMCCC.2016.149