Analysis of HF receiving Antenna SNR and Application

Radio Science ◽  
2022 ◽  
Author(s):  
Wenjun Zhu ◽  
Lixin Guo ◽  
Shaolin He ◽  
Keyword(s):  
Receiving Antenna

Design of the Miniaturized Receiving Antenna Applied in the Detection of Corona Discharge Signals

2011 ◽  
Vol 105-107 ◽  
pp. 2188-2193
Author(s):  
Xiao Han ◽  
Xi Chen ◽  
Peng Fei Li
Keyword(s):  
Corona Discharge ◽  
Transmission Lines ◽  
Small Volume ◽  
Industrial Applications ◽  
Patch Antennas ◽  
Negative Corona Discharge ◽  
Receiving Antenna ◽  
Security Inspection ◽  
The Time Domain ◽  
To Receive

Corona discharge is a kind of self maintained discharges that occurs in the extremely uneven electric field which often happens in the industrial and daily living environments. In this paper, we study the characteristics of corona discharge, especially the ones in the time domain and frequency domain of negative corona discharge. Based on the analyzed characteristics mentioned above, we design and optimize a kind of patch antennas, which has the advantages of small volume compared to the traditional one used to receive the signals generated by corona discharge. This new antenna can be used in the field of security inspection on high voltage transmission lines applied in the industrial applications.

Simple formula for current on a cylindrical receiving antenna

1978 ◽  
Vol 26 (5) ◽  
pp. 683-690 ◽  
Author(s):  
D. Chang ◽  
S. Lee ◽  
L. Rispin
Keyword(s):  
Simple Formula ◽  
Receiving Antenna

Unified Definitions of Efficiencies and System Noise Temperature for Receiving Antenna Arrays

2010 ◽  
Vol 58 (6) ◽  
pp. 2121-2125 ◽  
Author(s):  
Karl F Warnick ◽  
Marianna V Ivashina ◽  
Rob Maaskant ◽  
Bert Woestenburg
Keyword(s):  
Antenna Arrays ◽  
Noise Temperature ◽  
System Noise ◽  
Receiving Antenna

Statistical Analysis of the Detection Probability of the TianTuo-3 Space-based AIS

2017 ◽  
Vol 71 (2) ◽  
pp. 467-481 ◽  
Author(s):  
Shiyou Li ◽  
Lihu Chen ◽  
Xiaoqian Chen ◽  
Yong Zhao ◽  
Lei Yang
Keyword(s):  
Statistical Analysis ◽  
Detection Probability ◽  
High Probability ◽  
Distribution Density ◽  
Automatic Identification ◽  
Identification System ◽  
Receiving Antenna ◽  
Defense Technology ◽  
Vessel Detection ◽  
National University

The Micro-Nano satellite TianTuo-3 (TT-3) developed by the National University of Defense Technology (NUDT) was successfully launched on 20 September 2015. The space-based Automatic Identification System (AIS) on board TT-3 works well and stably receives AIS signals from global vessels. In this work, we perform statistical analysis on the detection probability of the vessels in the concerned areas by using the TT-3 AIS data. The results suggest that the detection probability of vessels decreases as the distribution density increases, especially in the offshore areas of dense traffic and the TT3-AIS vessel detection probability in the oceans can be higher than 40%, indicating that the TT-3 AIS has achieved a high probability of coverage of vessels for a single receiving antenna. The analysis results will present helpful references both in evaluating the potential application of satellite-based AIS and for designing the next generation space-based AIS which might greatly improve the detection probability of ocean-going vessels.

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