scholarly journals Methods for mutual time delay estimation of wideband signals based on nonlinear digital filtering

2019 ◽  
Vol 30 ◽  
pp. 03008
Author(s):  
Roman Ershov ◽  
Oleg Morozov
Keyword(s):  
Time Delay ◽  
Communication Systems ◽  
Satellite Communication ◽  
Signal To Noise Ratio ◽  
Digital Filtering ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Wideband Signals ◽  
Correlation Processing

Methods for mutual time delay estimation of wideband signals propagating in satellite communication systems are proposed. The signals are propagated in different channels and received with low signal-to-noise ratio. A characteristic feature of satellite channel is the presence of the Doppler Effect, which leads to a shift and scaling the signal spectrums. The proposed approaches are based on the separation of narrow-band channels from the studied signals, using non-linear digital filtering algorithms in each channel, and subsequent optimal (correlation) processing. The accuracy of the proposed methods and the reliability of the determination of time delay are investigated.

DETERMINATION OF THE GLASS FIBER FREEZING POINT BY TIME-DELAY ESTIMATION

1997 ◽  
Vol 5 (7) ◽  
pp. 943-950
Author(s):  
S.A. Milinković
Keyword(s):  
Time Delay ◽  
Glass Fiber ◽  
Freezing Point ◽  
Time Delay Estimation ◽  
Delay Estimation

Phase comparison time delay estimation using wideband signals

1986 ◽  
Vol 80 (4) ◽  
pp. 1264-1264
Author(s):  
John David Hatlestad
Keyword(s):  
Time Delay ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Wideband Signals ◽  
Comparison Time

Investigation of the Statistical Method of Time Delay Estimation Based on Conditional Averaging of Delayed Signal

2011 ◽  
Vol 18 (2) ◽  
pp. 335-342 ◽  
Author(s):  
Adam Kowalczyk ◽  
Robert Hanus ◽  
Anna Szlachta
Keyword(s):  
Time Delay ◽  
Statistical Method ◽  
Signal To Noise Ratio ◽  
Extreme Points ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Experimental Investigations ◽  
Average Value ◽  
Standard Deviations ◽  
Conditional Averaging

Investigation of the Statistical Method of Time Delay Estimation Based on Conditional Averaging of Delayed Signal This paper presents the results of the theoretical and practical analysis of selected features of the function of conditional average value of the absolute value of delayed signal (CAAV). The results obtained with the CAAV method have been compared with the results obtained by method of cross correlation (CCF), which is often used at the measurements of random signal time delay. The paper is divided into five sections. The first is devoted to a short introduction to the subject of the paper. The model of measured stochastic signals is described in Section 2. The fundamentals of time delay estimation using CCF and CAAV are presented in Section 3. The standard deviations of both functions in their extreme points are evaluated and compared. The results of experimental investigations are discussed in Section 4. Computer simulations were used to evaluate the performance of the CAAV and CCF methods. The signal and the noise were Gaussian random variables, produced by a pseudorandom noise generator. The experimental standard deviations of both functions for the chosen signal to noise ratio (SNR) were obtained and compared. All simulation results were averaged for 1000 independent runs. It should be noted that the experimental results were close to the theoretical values. The conclusions and final remarks were included in Section 5. The authors conclude that the CAAV method described in this paper has less standard deviation in the extreme point than CCF and can be applied to time delay measurement of random signals.

scholarly journals Determination of structure tilting in magnetized plasmas—Time delay estimation in two dimensions

2013 ◽  
Vol 20 (6) ◽  
pp. 062303 ◽  
Author(s):  
Dávid Guszejnov ◽  
Attila Bencze ◽  
Sándor Zoletnik ◽  
Andreas Krämer-Flecken
Keyword(s):  
Time Delay ◽  
Two Dimensions ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Magnetized Plasmas

scholarly journals Time Delay Estimation Method Used Median Filter in Low Signal to Noise Ratio Pulse Environment

2021 ◽  
Vol 252 ◽  
pp. 02039
Author(s):  
Hang Liu ◽  
Wenhong Liu
Keyword(s):  
Signal Processing ◽  
Time Delay ◽  
Signal To Noise Ratio ◽  
Median Filter ◽  
Estimation Algorithm ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
P Value ◽  
Signal To Noise ◽  
Second Order Statistics

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.

scholarly journals A Cumulative-signals-based Method for Time Delay Estimation

2019 ◽  
Vol 19 (2) ◽  
pp. 61-63 ◽  
Author(s):  
Volodymyr Mosorov
Keyword(s):  
Time Delay ◽  
Original Method ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Flow Measurements ◽  
Inflection Points ◽  
Input Signals ◽  
Estimation Of Time ◽  
Cumulative Curves

Abstract An original method for time delay estimation is presented. It is based on changing input signals into cumulative ones, followed by determination of inflection points of cumulative curves, and estimation of time delay as time difference of these points’ occurrences. To determine the inflection points, a suitable algorithm is proposed. The preliminary results show that the proposed method is sufficiently efficient, especially in the case of flow measurements based on tomography technique when the cross-correlation function of the signals has no evident peak. This method has no limitations on its application for different types of input signals.

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