scholarly journals Correlation estimation for digital communications based on the noise chaotic signals with time windows.

2021 ◽  
Author(s):  
V. I. Kalinin ◽  
◽  
O. A. Byshevski-Konopko
Keyword(s):  
Time Delay ◽  
Data Transmission ◽  
Time Windows ◽  
Wireless Channel ◽  
Time Interval ◽  
Pass Band ◽  
Linear Superposition ◽  
Correlation Estimation ◽  
Correlation Receiver ◽  
Continuous Noise

Wireless noise communication system based on the transmitted reference technique (TRT) is proposed for a covert data transmission through additive white Gaussian noise (AGWN) channel. Noise waveforms with the time windows are formed for data transmission using (3.1–4.1) GHz band-pass filters with symmetrical finite impulse response (FIR). FIR filter design includes the specification of the rectangular frequency response and the selection of appropriate window functions, which satisfy pass-band and attenuation specifications. Spread spectrum noise communications apply the time diversity between the noise reference and informative noise carriers delayed at the time interval T = 6 ns exceeding the noise coherent time τc = 1 ns. The delayed noise carriers are multiplied by antipodal binary symbols bl = ±1 at the same rate to informative data stream. The delivered noise reference is transmitted through wireless channel simultaneously with delayed noise waveforms contained informative components. Spectrum modulation of transmitted waveforms is performed by means of linear superposition between the noise reference and informative noise carriers delayed at time interval T. Spectral power density of result noise signals is modulated by antipodal harmonic functions with the period in inverse proportion to relative time delay Т. The coherent convolution of continuous noise signals is produced by the correlation receiver during every informative symbol interval. The correlation time delay in the receiver channel corresponds to the diversity time delay Т of informative noise signals. The correlation estimation problem appears in the case of data transmitting on the base of continuous noise carriers. Correlation estimations are statistical evaluated for total noise signals propagating throw AGWN channel. Intersystem jamming is excited at the output of correlation receiver even if noise informative carriers are transmitted over a wireless channel without thermal noise. Autocorrelation receiver output is randomly deviated near the average value according to informative data rate. Window method is proposed for a digital compensation of random distortions in correlation estimations. It is shown, that utilizing continuously noise signals with the time windows permits to decrease randomly fluctuations of correlation estimations.

scholarly journals A Sallen Key All Pass Filter for Noise Reduction in Visible Light Communication Systems

2019 ◽  
Vol 8 (6) ◽  
pp. 1335-1341
Keyword(s):  
Visible Light ◽  
Data Transmission ◽  
Communication Systems ◽  
Visible Light Communication ◽  
Wireless Channel ◽  
Pass Band ◽  
Ambient Light ◽  
Optical Wireless ◽  
Pass Filter ◽  
Red Led

Visible-light communication (VLC) uses a solid-state illumination device for generating high speed communication links. VLC is used throughout world for eliminating the shortage of wireless spectrum resources. The VLC is generally an Optical Wireless Communication (OWC) method and this uses the Light Emitting Diode (LED) for data transmission through the optical wireless channel. The data transmission though the VLC is affected by ambient light interference due to the environment. In this paper, an efficient filter is designed to eliminate the ambient light noises from the received signal. The filter used in the VLC system is Sallen key All Pass Filter (APF) and the red LED and Photo detector (PD) is used in the transmitter and receiver respectively. The Sallen key APF contains three different filter structures such as low pass, band pass and high pass filter. The Sallen APF uses the filter process with respect to the noise. This proposed system is implemented in two different tools namely MATLAB and Electric VLSI. The performance of the proposed system is analyzed in terms of Bit Error Rate (BER), area, power consumption and data rate.

scholarly journals A Novel Deep Learning Approach for Machinery Prognostics Based on Time Windows

2019 ◽  
Vol 9 (22) ◽  
pp. 4813 ◽  
Author(s):  
Hanbo Yang ◽  
Fei Zhao ◽  
Gedong Jiang ◽  
Zheng Sun ◽  
Xuesong Mei
Keyword(s):  
Time Windows ◽  
Remaining Useful Life ◽  
Sensor Data ◽  
Time Interval ◽  
Kernel Module ◽  
Initial Stage ◽  
Research Task ◽  
Consecutive Time ◽  
Useful Life

Remaining useful life (RUL) prediction is a challenging research task in prognostics and receives extensive attention from academia to industry. This paper proposes a novel deep convolutional neural network (CNN) for RUL prediction. Unlike health indicator-based methods which require the long-term tracking of sensor data from the initial stage, the proposed network aims to utilize data from consecutive time samples at any time interval for RUL prediction. Additionally, a new kernel module for prognostics is designed where the kernels are selected automatically, which can further enhance the feature extraction ability of the network. The effectiveness of the proposed network is validated using the C-MAPSS dataset for aircraft engines provided by NASA. Compared with the state-of-the-art results on the same dataset, the prediction results demonstrate the superiority of the proposed network.

Research on the Character of a Synchronous Control System with Wireless Data Communication

2010 ◽  
Vol 455 ◽  
pp. 206-210
Author(s):  
Jun Li Liu ◽  
Yan Yan Yan ◽  
G.Q. He
Keyword(s):  
Control System ◽  
Time Delay ◽  
Data Transmission ◽  
Data Communication ◽  
Control Model ◽  
Data Loss ◽  
Wireless Data ◽  
Synchronous Control ◽  
Wireless Data Transmission ◽  
Set Up

It discusses the reasons of the data transmission time delay and packets loss based on the theory of net data transmission. Aimed to the question of the time delay of data transmission and packets loss, the control system models are set up to analyze their influence to the performance of the control system. Based on the synchronous control model analysis with wireless data transmission, a method to control the system is reached with the state prediction when the communication error or data loss appears. It can control constantly when communication errors appear, and also it can get the most error period by numerical analysis.

scholarly journals Publish and Subscribe-Based Formation and Containment Control of Heterogeneous Robotic System with Actuator Time Delay

2021 ◽  
Vol 11 (19) ◽  
pp. 9145
Author(s):  
Siddig M. Elkhider ◽  
Omar Al-Buraiki ◽  
Sami El-Ferik
Keyword(s):  
Time Delay ◽  
Obstacle Avoidance ◽  
Data Transmission ◽  
Data Exchange ◽  
Autonomous Underwater Vehicles ◽  
Underwater Vehicles ◽  
Containment Control ◽  
L1 Adaptive Control ◽  
Navigation Algorithm ◽  
Local Controller

This paper addresses the problem of controlling a heterogeneous system composed of multiple Unmanned Aerial Vehicles (UAVs) and Autonomous Underwater Vehicles (AUVs) for formation and containment maintenance. The proposed approach considers actuator time delay and, in addition to formation and containment, considers obstacle avoidance, and offers a robust navigation algorithm and uses a reliable middleware for data transmission and exchange. The methodology followed uses both flocking technique and modified L1 adaptive control to ensure the proper navigation and coordination while avoiding obstacles. The data exchange between all the agents is provided through the data distribution services (DDS) middleware, which solves the interoperability issue when dealing with heterogeneous multiagent systems. The modified L1 controller is a local controller for stabilizing the dynamic model of each UAV and AUV, and the flocking approach is used to coordinate the followers around the leader or within the space delimited by their leaders. Potential Field (PF) allows obstacle avoidance during the agents’ movement. The performance of the proposed approach under the considerations mentioned above are verified and demonstrated using simulations.

scholarly journals Time-delay feedback cooperative adaptive cruise control of connected vehicles by heterogeneous channel transmission

2019 ◽  
Vol 52 (5-6) ◽  
pp. 369-378 ◽  
Author(s):  
Xiulan Song ◽  
Xiaoxin Lou ◽  
Limin Meng
Keyword(s):  
Time Delay ◽  
Autonomous Vehicles ◽  
Adaptive Cruise Control ◽  
Sufficient Conditions ◽  
Wireless Channel ◽  
Linear Matrix ◽  
Connected Vehicle ◽  
Cruise Control ◽  
Cooperative Adaptive Cruise Control ◽  
Vehicle Platoon

In this paper, we consider the cooperative adaptive cruise control problem of connected autonomous vehicles networked by heterogeneous wireless channel transmission. The cooperative adaptive cruise control model with variable input delays is established to describe the varying time-delays induced from vehicular actuators and heterogeneous channel transmission. Then a set of decentralized time-delay feedback cooperative adaptive cruise control controllers is computed in such way that each vehicle evaluates its own adaptive cruise control strategy using only neighborhood information. In order to establish string stability of the connected vehicle platoon with the decentralized controllers, the sufficient conditions are obtained in the form of linear matrix inequalities. The scenarios, consisting of four different cars with three heterogeneous wireless channels, are used to demonstrate the effectiveness of the presented method.

Data Transmission Oriented on the Object, Communication Media, Application, and State of Communication Systems

2011 ◽  
Vol 3 (2) ◽  
pp. 51-65
Author(s):  
Mike Sabelkin ◽  
François Gagnon
Keyword(s):  
Data Transmission ◽  
Channel Coding ◽  
Communication Systems ◽  
Reference Model ◽  
Image Transmission ◽  
Wireless Channel ◽  
Superior Performance ◽  
Communication Media ◽  
Fast Analysis ◽  
Wide Range

The proposed communication system architecture is called TOMAS, which stands for data Transmission oriented on the Object, communication Media, Application, and state of communication Systems. TOMAS could be considered a Cross-Layer Interface (CLI) proposal, since it refers to multiple layers of the Open Systems Interconnection Basic Reference Model (OSI). Given particular scenarios of image transmission over a wireless LOS channel, the wireless TOMAS system demonstrates superior performance compared to a JPEG2000+OFDM system in restored image quality parameters over a wide range of wireless channel parameters. A wireless TOMAS system provides progressive lossless image transmission under influence of moderate fading without any kind of channel coding and estimation. The TOMAS system employs a patent pending fast analysis/synthesis algorithm, which does not use any multiplications, and it uses three times less real additions than the one of JPEG2000+OFDM.

Parameters of Spike Trains Observed in a Short Time Window

2008 ◽  
Vol 20 (5) ◽  
pp. 1325-1343 ◽  
Author(s):  
Zbyněk Pawlas ◽  
Lev B. Klebanov ◽  
Martin Prokop ◽  
Petr Lansky
Keyword(s):  
Coefficient Of Variation ◽  
Point Processes ◽  
Interspike Interval ◽  
Time Window ◽  
Time Windows ◽  
Time Interval ◽  
Short Time Interval ◽  
Target Neuron ◽  
Short Time Window ◽  
Short Time

We study the estimation of statistical moments of interspike intervals based on observation of spike counts in many independent short time windows. This scenario corresponds to the situation in which a target neuron occurs. It receives information from many neurons and has to respond within a short time interval. The precision of the estimation procedures is examined. As the model for neuronal activity, two examples of stationary point processes are considered: renewal process and doubly stochastic Poisson process. Both moment and maximum likelihood estimators are investigated. Not only the mean but also the coefficient of variation is estimated. In accordance with our expectations, numerical studies confirm that the estimation of mean interspike interval is more reliable than the estimation of coefficient of variation. The error of estimation increases with increasing mean interspike interval, which is equivalent to decreasing the size of window (less events are observed in a window) and with decreasing the number of neurons (lower number of windows).

A Height Estimation Method Based on Joint Time Delay and Phase Estimation for Wideband InSAR or InSAS

2012 ◽  
Vol 605-607 ◽  
pp. 1105-1109
Author(s):  
Sen Zhang ◽  
Jin Song Tang ◽  
He Ping Zhong
Keyword(s):  
Time Delay ◽  
Cross Correlation ◽  
Estimation Method ◽  
Simulated Data ◽  
Time Delay Estimation ◽  
Phase Estimation ◽  
Height Estimation ◽  
Common Information ◽  
Correlation Estimation ◽  
Better Than

In this paper, a new height estimation method based on joint time delay and phase estimation is proposed, which can solve the contradiction between the dimensions of the observing space and the hypothesis of spatial stationarity. It can improve the performance and robustness of time delay estimation by utilizing the neighboring pixels’ common information though spatial processing. The simulated data varifies the perfermance of the proposed method. The result is that its performance is better than the cross correlation estimation method.

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