scholarly journals High-Resolution Group Quantization Phase Processing Method in Radio Frequency Measurement Range

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Baoqiang Du ◽  
Dazheng Feng ◽  
Yaohua Tang ◽  
Xin Geng ◽  
Duo Zhang ◽  
...  

Abstract Aiming at the more complex frequency translation, the longer response time and the limited measurement precision in the traditional phase processing, a high-resolution phase processing method by group quantization higher than 100 fs level is proposed in radio frequency measurement range. First, the phase quantization is used as a step value to quantize every phase difference in a group by using the fixed phase relationships between different frequencies signals. The group quantization is formed by the results of the quantized phase difference. In the light of frequency drift mainly caused by phase noise of measurement device, a regular phase shift of the group quantization is produced, which results in the phase coincidence of two comparing signals which obtain high-resolution measurement. Second, in order to achieve the best coincidences pulse, a subtle delay is initiatively used to reduce the width of the coincidences fuzzy area according to the transmission characteristics of the coincidences in the specific medium. Third, a series of feature coincidences pulses of fuzzy area can be captured by logic gate to achieve the best phase coincidences information for the improvement of the measurement precision. The method provides a novel way to precise time and frequency measurement.

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Baoqiang Du ◽  
Dazheng Feng ◽  
Yaohua Tang ◽  
Xin Geng ◽  
Duo Zhang ◽  
...  

Open Physics ◽  
2021 ◽  
Vol 19 (1) ◽  
pp. 434-438
Author(s):  
Xin Geng ◽  
Baoqiang Du ◽  
Jianwei Zhang ◽  
Erlin Tian

Abstract In order to achieve wide-band high-resolution frequency measurement, a frequency synchronization detection method based on adaptive frequency standard tracking is proposed based on the quantized phase processing. First, the nominal value of the measured frequency signal was obtained from the rough frequency measurement module. Then, the field programmable gate array generated the nominal value of the measured frequency. After that, the direct comparison between the tracking frequency and the measured signal was carried out. Finally, the group quantized processing module gave the final result according to the phase full-period change time. Experimental results showed that the method has a wide frequency measurement range and high accuracy and can obtain frequency stability of the order of 10−13/s.


2021 ◽  
Vol 11 (13) ◽  
pp. 5793
Author(s):  
Bartosz Dominikowski

The accuracy of current measurements can be increased by appropriate amplification of the signal to within the measurement range. Accurate current measurement is important for energy monitoring and in power converter control systems. Resistance and inductive current transducers are used to measure the major current in AC/DC power converters. The output value of the current transducer depends on the load motor, and changes across the whole measurement range. Modern current measurement circuits are equipped with operational amplifiers with constant or programmable gain. These circuits are not able to measure small input currents with high resolution. This article proposes a precise loop gain system that can be implemented with various algorithms. Computer analysis of various automatic gain control (AGC) systems proved the effectiveness of the Mamdani controller, which was implemented in an MCU (microprocessor). The proposed fuzzy controller continuously determines the value of the conversion factor. The system also enables high resolution measurements of the current emitted from small electric loads (≥1 A) when the electric motor is stationary.


2021 ◽  
pp. 1-1
Author(s):  
Laxmeesha Somappa ◽  
Shahid Malik ◽  
Shuchin Aeron ◽  
Sameer Sonkusale ◽  
Maryam Shojaei Baghini

2018 ◽  
Vol 45 (11) ◽  
pp. 1104002
Author(s):  
吉宁可 Ji Ningke ◽  
张福民 Zhang Fumin ◽  
曲兴华 Qu Xinghua ◽  
张桐 Zhang Tong ◽  
张铁犁 Zhang Tieli ◽  
...  

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