scholarly journals Идентификация источника сигнала в измерительном узле системы морского экологического и гидроакустического мониторинга

2020 ◽  
Author(s):  
P.A. Starodubtsev ◽  
E.A. Storozhok
Keyword(s):  
Computer Simulation ◽  
Correlation Function ◽  
Time Domain ◽  
Correct Identification ◽  
Signal Source ◽  
Amplifier Output ◽  
Primary Identification ◽  
The Time Domain ◽  
Marine Environmental ◽  
Measuring Unit

Вероятность ложной тревоги в измерительном узле системы морского экологического и гидроакустического мониторинга может быть снижена, если проводить первичную идентификацию источника сигнала. С этой целью необходимо предусмотреть наличие в составе узла базы данных шумовых портретов целей. Сигналы с выхода предварительного усилителя измерительного узла сравниваются с сигналами, хранящимися в базе данных, путём вычисления среднеквадратического отклонения. Определяется сигнал с минимальным отклонением и соответствующий ему источник. Сравнение сигналов может быть произведено и путём вычисления корреляционной функции. В данной статье приводятся результаты компьютерного моделирования блока первичной классификации измерительного узла в системе MATLAB AND SIMULINK. Сравниваемые сигналы представлены во временной области. Вероятность правильной идентификации может быть увеличена, если проводить сравнение спектров сигналов.The probability of a false alarm in the measuring unit of the marine environmental and hydroacoustic monitoring system can be reduced if the primary identification of the signal source is carried out. For this purpose, it is necessary to provide for the presence of noise portraits of targets in the database node. The signals from the pre-amplifier output of the measuring unit are compared with the signals stored in the database by calculating the standard deviation. The signal with the minimum deviation and its corresponding source are determined. Comparison of signals can be made by calculating the correlation function. This article presents the results of computer simulation of the primary classification unit of the measuring unit in the MATLAB AND SIMULINK system. The compared signals are represented in the time domain. The probability of correct identification can be increased by comparing the signal spectra.

scholarly journals Reduction of False Alarm Probability in the Measuring Node of the Hydroacoustic Monitoring System

2020 ◽  
pp. 568-577
Author(s):  
Pavel A. Starodubtsev ◽  
Evgeny A. Storozhok ◽  
Roman N. Alifanov
Keyword(s):  
Computer Simulation ◽  
False Alarm ◽  
Monitoring System ◽  
Time Domain ◽  
False Alarm Probability ◽  
Signal Source ◽  
Amplifier Output ◽  
Primary Identification ◽  
The Time Domain ◽  
Measuring Unit

The probability of a false alarm in the measuring unit of the hydroacoustic monitoring system can be reduced if the primary identification of the signal source is carried out. For this purpose, it is necessary to provide for the presence of noise portraits of targets in the database node. The signals from the pre-amplifier output of the measuring unit are compared with the signals stored in the database by calculating the standard deviation. The signal with the minimum deviation and its corresponding source are determined. Comparison of signals can be made by calculating the correlation function. This article presents the results of computer simulation of the primary classification unit of the measuring unit in the MATLAB&SIMULINK system. The compared signals are represented in the time domain

Analysis of the Dielectric Loss in the Transmission Line Based on Time Domain BLT Equation

2013 ◽  
Vol 756-759 ◽  
pp. 4287-4291 ◽  
Author(s):  
Wan Jin Wang ◽  
Zhi Wu Xuan
Keyword(s):  
Dielectric Loss ◽  
Transmission Line ◽  
Time Domain ◽  
Transient Signal ◽  
Signal Source ◽  
Response Voltage ◽  
Calculation Results ◽  
The Time Domain ◽  
The Impact ◽  
Dielectric Insulation

Dielectric loss is caused due to imperfect dielectric insulation, in order to study the impact of the dielectric loss consider a uniform loss transmission line with leak conductance. The BLT equation from the frequency domain to time domain is derived to improve the time domain BLT equation, and the aim of using the time domain BLT equation to calculate load voltage of the transmission line with transient signal source, through the calculation results to analyze the impact of the dielectric loss. The results showed that the attenuation of the terminal load transient response voltage occurred when the dielectric loss exists, and this effect is nonlinear.

Obtaining multi-loop pursuit-control pilot models from computer simulation

2008 ◽  
Vol 222 (2) ◽  
pp. 189-199 ◽  
Author(s):  
R A Hess
Keyword(s):  
Computer Simulation ◽  
Time Domain ◽  
Flight Control ◽  
Linear Models ◽  
Degree Of Freedom ◽  
Pilot Model ◽  
Pursuit Control ◽  
The Time Domain ◽  
Frequency Domain Techniques ◽  
Six Degree Of Freedom

A method for generating simplified pursuit-control pilot models for computer simulation of multi-axis flight control tasks has been developed. The method involves a sequential loop closure synthesis procedure for creating the pilot model and includes handling qualities estimation. The original model formulation previously reported in the literature used frequency-domain techniques, primarily Bode diagrams to select model gains. The present research demonstrates how similar results can be obtained in the time-domain. This latter approach is particularly useful when complex, non-linear aircraft models are being used. The time-domain approach is exercised in a six-degree of freedom rotorcraft control simulation and in a six-degree of freedom tailless fighter simulation, both involving linear models.

Adaptive Digital Filtering and Its Algorithms for Acoustic Echo Canceling

2011 ◽  
pp. 225-285
Author(s):  
Mohammad Reza Asharif ◽  
Rui Chen
Keyword(s):  
Correlation Function ◽  
Wavelet Transform ◽  
Computational Complexity ◽  
Frequency Domain ◽  
Time Domain ◽  
Digital Filtering ◽  
Wiener Filtering ◽  
Acoustic Echo ◽  
The Time Domain ◽  
New System

In this chapter, we shall study adaptive digital filtering (ADF) and its application to acoustic echo canceling (AEC). At first, Wiener filtering and algorithms such as LMS in the time domain for ADF are explained. Then, to decrease the computational complexity, the frequency domain algorithms such as FDAF and FBAF will be studied. To challenge the double-talk problem in AEC, we will also introduce various algorithms by processing the correlation function of the signal. The proposed algorithms here are CLMS, ECLMS, and using frequency domain is FECLMS, and using wavelet transform is WECLMS. Each of these algorithms has its own merits, and they will be evaluated. At the end of this chapter a new system for room-acoustic partitioning is proposed. This new system is called smart acoustic room (SAR). The SAR will also be used in AEC with double-talk condition. The authors wish to gather all aspects in studying ADF and their use in AEC by going very deep into theoretical details as well as considering more practical and feasible applications considering real-time implementation.

To: “Computer simulation of low‐frequency electromagnetic data acquisition” by W. A. San Filipo and G. W. Hohmann (GEOPHYSICS, September 1983, p. 1219–1232).

Geophysics ◽  
1984 ◽  
Vol 49 (9) ◽  
pp. 1575-1575
Keyword(s):  
Computer Simulation ◽  
Data Acquisition ◽  
Time Domain ◽  
Low Frequency ◽  
Primary Field ◽  
Initial Value ◽  
Electromagnetic Data ◽  
Time Harmonic ◽  
Time Domain Response ◽  
The Time Domain

The following changes should be made to the paper, “Computer simulation of low‐frequency electromagnetic data acquisition” by W. A. San Filipo and G. W. Hohmann (Geophysics, September 1983, p. 1219–1232). The equation for the vertical magnetic induction in gammas over a conductive half‐space for a vertical time‐harmonic dipole (p. 1221) should be: [Formula: see text] The computed signals used in the examples are correct, as can be verified by the initial value (on‐time primary field) of the time‐domain response shown in Figure 15.

Apodisation in the time domain

1992 ◽  
Vol 2 (4) ◽  
pp. 615-620
Author(s):  
G. W. Series
Keyword(s):  
Time Domain ◽  
The Time Domain
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