Noise Figure Measurements with Automated System

Author(s):  
Nick Kuhn
NCSLI Measure ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 17-33
Author(s):  
Iraj Visali ◽  
Scott Timpe

This paper details an automated Noise Source calibration system in development at Jet Propulsion Laboratory, California Institute of Technology (JPL). The paper begins with a discussion on noise figure and excess-noise-ratio (ENR) theory, fundamentals and governing equations. As part of the fundamentals there is a discussion of the system’s use of the Y-factor method to obtain accurate measurements of the unit under test (UUT), and how these measurements are compared against a known ENR standard to obtain the UUT’s ENR values. There is also an in-depth discussion on uncertainty quantification for noise source system calibrations. The architecture of the automated calibration system is provided, which includes both the system’s hardware and software configuration. The software is written in Python 3, and provides the user detailed instruction on how to proceed, including step-by-step connection requirements. This system automates much of the measurement process, including real-time uncertainty quantification and report generation, as well as real-time feedback to the user to allow intervention. The system takes advantage of a database of results from previous measurements to compare calibration history of the ENR measurements. The automated system presented here operates over a frequency range from 10 MHz to 50 GHz, and has shown substantial time savings over traditional manual methods of performing this calibration


1974 ◽  
Author(s):  
Peter H. Henry ◽  
Roy A. Turner ◽  
Robert B. Matthie

2020 ◽  
Vol 6 (2) ◽  
pp. 147-153
Author(s):  
Muhamad Yusup ◽  
Po. Abas Sunarya ◽  
Krisandi Aprilyanto

System The process of counting and storing in a manual water reservoir analysis has a high percentage of error rate compared to an automated system. In a company industry, especially in the WWT (Waste Water Treatment) section, it has several reservoir tanks as stock which are still counted manually. The ultrasonic sensor is placed at the top of the WWT tank in a hanging position. Basically, to measure the volume in a tank only variable height is always changing. So by utilizing the function of the ultrasonic sensor and also the tube volume formula, the stored AIR volume can be monitored in real time based on IoT using the Blynk application. From the sensor, height data is obtained which then the formula is processed by Arduino Wemos and then information is sent to the MySQL database server via the WIFI network.


In automated control systems for technical processes, the conversion of a continuous signal into a digital code and vice versa from a digital code to a continuous (analog) value is widely used. For direct type converters often used the term ADC, the reverse - DAC. The characteristics of the converters often dramatically affect the parameters of the entire automated system. The importance of the correct choice of ADCs and DACs has especially increased recently in connection with the mass introduction of microcontrollers MC. Indeed, in addition to the ADC and DAC, it is necessary to place the processor core in the microcontroller's crystal, I/O interfaces and many other elements necessary for the functioning of the MC. The use of information converters in the construction industry imposes additional requirements on converters: for example, in building monitoring systems, precision ADCs with extremely high accuracy are often required (while performance may be low), in other applications it is necessary to provide the necessary parameters at a high level of industrial interference, etc. This article explores issues related to the rational choice of ADCs and DACs, taking into account current trends in the IT field and the specifics of work in the construction industry. Sigma-Delta converters are noted as the most promising models of direct type converters.


Author(s):  
Jacqueline Tran ◽  
Dianne Bautista ◽  
Zoltan Seres ◽  
Loic Cornaut ◽  
Torquil Gundlach ◽  
...  

2020 ◽  
Vol E103.C (7) ◽  
pp. 335-340
Author(s):  
Maizan MUHAMAD ◽  
Norhayati SOIN ◽  
Harikrishnan RAMIAH

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