scholarly journals The use of RF signal simulation in a radio telescope control system

2004 ◽  
Author(s):  
Mark H. Clark
Keyword(s):  
Control System ◽  
Radio Telescope ◽  
Signal Simulation ◽  
Rf Signal

scholarly journals Main Uncertainties in the RF Ultrasound Scanning Simulation of the Standard Ultrasound Phantoms

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4420
Author(s):  
Monika Makūnaitė ◽  
Rytis Jurkonis ◽  
Arūnas Lukoševičius ◽  
Mindaugas Baranauskas
Keyword(s):  
Quantitative Evaluation ◽  
Phased Array ◽  
Digital Simulation ◽  
3D Models ◽  
Array Transducer ◽  
Rf Signals ◽  
Background Material ◽  
Signal Simulation ◽  
Rf Signal ◽  
Insufficient Knowledge

Ultrasound echoscopy technologies are continuously evolving towards new modalities including quantitative parameter imaging, elastography, 3D scanning, and others. The development and analysis of new methods and algorithms require an adequate digital simulation of radiofrequency (RF) signal transformations. The purpose of this paper is the quantitative evaluation of RF signal simulation uncertainties in resolution and contrast reproduction with the model of a phased array transducer. The method is based on three types of standard physical phantoms. Digital 3D models of those phantoms are composed of point scatterers representing the weak backscattering of the background material and stronger backscattering from inclusions. The simulation results of echoscopy with sector scanning transducer by Field II software are compared with the RF output of the Ultrasonix scanner after scanning standard phantoms with 2.5 MHz phased array. The quantitative comparison of axial, lateral, and elevation resolutions have shown uncertainties from 9 to 22% correspondingly. The echoscopy simulation with two densities of scatterers is compared with contrast phantom imaging on the backscattered RF signals and B-scan reconstructed image, showing that the main sources of uncertainties limiting the echoscopy RF signal simulation adequacy are an insufficient knowledge of the scanner and phantom’s parameters. The attempt made for the quantitative evaluation of simulation uncertainties shows both problems and the potential of echoscopy simulation in imaging technology developments. The analysis presented could be interesting for researchers developing quantitative ultrasound imaging and elastography technologies looking for simulated raw RF signals comparable to those obtained from real ultrasonic scanning.

scholarly journals Density Based Traffic Control System with Smart Sensing Of Emergency Vehicles

2019 ◽  
Vol 8 (02) ◽  
pp. 01-07
Author(s):  
Dr. M. Varadharaj
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Output Signal ◽  
Magnetic Sensors ◽  
Emergency Vehicle ◽  
Traffic Light ◽  
The Road ◽  
Pollution Levels ◽  
Traffic Control System ◽  
Rf Signal

Present Traffic Light Controller (TLC) relies upon micro-controller and microchip. These TLC have restrictions as they are depend on pre-portrayed gear, which is filling in with respect  to the program that doesn't have the versatility of adjustment on continuous reason. Owing to fixed time spans, orange and red signal’s holding up time is more and vehicle uses more fuel. To make traffic light leadership progressively beneficial, we abuse the advancement of new procedure called as “Density based traffic control system with smart sensing of emergency vehicles”. It is constructed mainly by using Magnetic Sensors for real world environment and by using IR modules for Model. The main objective of our project is to clear traffic efficiently by effective usage of the green signal time. In this system the density of the vehicle in a particular lane is obtained by the number of magnetic sensors kept in the road side which produces output signal with respect to the density of the traffic. Thus produced output signal is further processed by ARM microcontroller and according to the density obtained by the magnetic sensors the countdown time of the green signal is varied by the microcontroller and hence the usage of green signal even after all the vehicle pass by are prevented. In addition to this system our system also senses the emergency vehicle like ambulance that approaches the signal by detecting the RF signal transmitted by the Ambulance or other emergency vehicle with the help of RF receivers that kept at the road side and halts all the vehicles by putting red signal for all the four sides of road and puts special ‘green jeep signal’ for the emergency vehicle to pass by hence our system provide way for emergency vehicle. It can also prioritize the emergency vehicle with the help of RF transmitter and receiver. As the signalling board receives the RF signal, it turns the Corresponding lane ON, thus clearing the route for the emergency vehicle. DSS also analyses the pollution levels by placing a check over the vehicle emissions at the junctions. When the priorities of any two lanes clash, pollution levels are taken into account to provide the signals for them in turns. The gas sensors are fitted onto the signalling boards which help in calculating the pollutant levels.

scholarly journals Density Based Traffic Control System with Smart Sensing Of Emergency Vehicles

CONVERTER ◽  
2019 ◽  
pp. 01-07
Author(s):  
Dr. M. Varadharaj
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Output Signal ◽  
Magnetic Sensors ◽  
Emergency Vehicle ◽  
Traffic Light ◽  
The Road ◽  
Pollution Levels ◽  
Traffic Control System ◽  
Rf Signal

Present Traffic Light Controller (TLC) relies upon micro-controller and microchip. These TLC have restrictions as they are depend on pre-portrayed gear, which is filling in with respect  to the program that doesn't have the versatility of adjustment on continuous reason. Owing to fixed time spans, orange and red signal’s holding up time is more and vehicle uses more fuel. To make traffic light leadership progressively beneficial, we abuse the advancement of new procedure called as “Density based traffic control system with smart sensing of emergency vehicles”. It is constructed mainly by using Magnetic Sensors for real world environment and by using IR modules for Model. The main objective of our project is to clear traffic efficiently by effective usage of the green signal time. In this system the density of the vehicle in a particular lane is obtained by the number of magnetic sensors kept in the road side which produces output signal with respect to the density of the traffic. Thus produced output signal is further processed by ARM microcontroller and according to the density obtained by the magnetic sensors the countdown time of the green signal is varied by the microcontroller and hence the usage of green signal even after all the vehicle pass by are prevented. In addition to this system our system also senses the emergency vehicle like ambulance that approaches the signal by detecting the RF signal transmitted by the Ambulance or other emergency vehicle with the help of RF receivers that kept at the road side and halts all the vehicles by putting red signal for all the four sides of road and puts special ‘green jeep signal’ for the emergency vehicle to pass by hence our system provide way for emergency vehicle. It can also prioritize the emergency vehicle with the help of RF transmitter and receiver. As the signalling board receives the RF signal, it turns the Corresponding lane ON, thus clearing the route for the emergency vehicle. DSS also analyses the pollution levels by placing a check over the vehicle emissions at the junctions. When the priorities of any two lanes clash, pollution levels are taken into account to provide the signals for them in turns. The gas sensors are fitted onto the signalling boards which help in calculating the pollutant levels.

scholarly journals A Data Acquisition and Control System for a 46-Meter Radio Telescope

1972 ◽  
Vol 84 ◽  
pp. 194
Author(s):  
D. L. Bradt ◽  
L. A. Higgs ◽  
S. G. Jones ◽  
T. G. O'Neill ◽  
J. L. Wolfe
Keyword(s):  
Control System ◽  
Data Acquisition ◽  
Radio Telescope ◽  
And Control

The Decameter Wave Radio Telescope at Gauribidanur: Antenna Arrays and Control System

1989 ◽  
Vol 35 (6) ◽  
pp. 342-348 ◽  
Author(s):  
A A Deshpande ◽  
R K Shevgaonkar ◽  
Ch V Sastry
Keyword(s):  
Control System ◽  
Radio Telescope ◽  
Antenna Arrays ◽  
Wave Radio ◽  
And Control
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