E3S Web Conf.
Volume 252, 20212021 International Conference on Power Grid System and Green Energy (PGSGE 2021)
|Number of page(s)||5|
|Section||Research and Development of Electrical Equipment and Energy Nuclear Power Devices|
|Published online||23 April 2021|
Time Delay Estimation Method Used Median Filter in Low Signal to Noise Ratio Pulse Environment
1 School of Electronic Information, Shanghai Dianji University, Shanghai, 200000, China
2 School of Electronic Information, Shanghai Dianji University, Shanghai, 200000, China
* Corresponding author’s e-mail: email@example.com
In practice, the collected signal often contains impulsive noise. The classical time delay estimation algorithm based on the second-order statistics of Gaussian distribution will degrade or even be unreliable, so that it cannot be used. Although the fractional low-order signal processing method can be better adapted to signal processing in the impulse noise environment, the determination of the order p value of the fractional low-order moment depends on the prior knowledge or estimation of the characteristic index α value of the pulse, and when the pulse is stronger or the signal-to-noise ratio is low, the performance cannot meet the requirements well. The paper adopted the method of median filter preprocessing. First, the abnormal points (pulse points) are removed in the noise and return the noise to the Gaussian model distribution; next, use the time delay estimation algorithm under the second-order statistics to avoid the estimate of p-value. Computer simulation experiments show that the method proposed in this paper has better estimation performance in low snr pulse environment.
© The Authors, published by EDP Sciences, 2021
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