The Performance Correlation Hilbert Time-Delay Estimation for Passive Detection

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Abstract:

Passive time difference detection method is distance, high speed and good concealment which has broad military application prospects. One of the key technologies for passive detection is to extract the time lag through effective signal processing. Relevant method is the most basic method to estimate the time difference and is the basic theory of all correlative time-delay estimation algorithms. The method is simple. But good results rely on the spectrum characteristics of signal and noise is ideal. Time delay estimation based on Hilbert transform is the expansion of the generalized correlation time-delay estimation method which changes the correlation function from accidentally symmetry into odd symmetry. Detecting correlation peak is converted into zero crossing detection. The method sharps the main peak value point and improved the precision of time delay estimation which gets better time-delay estimation performance in the narrowband signal.

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1768-1771

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August 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Hu laizhao. Passive location. Beijing, National defense industry press, (2004).

Google Scholar

[2] Qi guoqing. The signal detection and estimation. Beijing, Electronic industry press, (2010).

Google Scholar

[3] Zhang xianda. Modern signal processing Beijing, Tsinghua university press, (2008).

Google Scholar

[4] Azaria M, Hertz D. Time delay estimation by generalized cross correlation methods. IEEE Trans on Acoustics, Speech, and Signal Processing, 1984, 32(2). 280-285.

DOI: 10.1109/tassp.1984.1164314

Google Scholar

[5] Jin liunian. The study of the time delay estimation method of the passive location. Xian university of electronic science and technology. (2011).

Google Scholar

[6] Ji yemei, Wu daxian. Probability and mathematical statistics. Beijing, Electronic industry press, (2001).

Google Scholar

[7] NOOR SHAFIZA MOHD TAMIM, FARID GHANI. Hilbert Transform of FFT Pruned Cross Correlation Function for Optimization in Time Delay Estimation. Communications(MICC), 2009 IEEE 9th Malaysia International Conference, 811-812.

DOI: 10.1109/micc.2009.5431382

Google Scholar