scholarly journals Size of a steady disturbance source affects the frequency of a target wave

AIP Advances ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. 085034
Author(s):  
Jian Gao ◽  
Changgui Gu ◽  
Huijie Yang ◽  
Tongfeng Weng

2021 ◽  
Author(s):  
Adam Augustyniak ◽  
David J. Hanley ◽  
Timothy W. Bretl ◽  
Neil J. Hejmanowski ◽  
David L. Carroll


2021 ◽  
Vol 11 (13) ◽  
pp. 6079
Author(s):  
Abulasad Elgamoudi ◽  
Hamza Benzerrouk ◽  
G. Arul Elango ◽  
René Landry

A single Radio-Frequency Interference (RFI) is a disturbance source of modern wireless systems depending on Global Navigation Satellite Systems (GNSS) and Satellite Communication (SatCom). In particular, significant applications such as aeronautics and satellite communication can be severely affected by intentional and unintentional interference, which are unmitigated. The matter requires finding a radical and effective solution to overcome this problem. The methods used for overcoming the RFI include interference detection, interference classification, interference geolocation, tracking and interference mitigation. RFI source geolocation and tracking methodology gained universal attention from numerous researchers, specialists, and scientists. In the last decade, various conventional techniques and algorithms have been adopted in geolocation and target tracking in civil and military operations. Previous conventional techniques did not address the challenges and demand for novel algorithms. Hence there is a necessity for focussing on the issues associated with this. This survey introduces a review of various conventional geolocation techniques, current orientations, and state-of-the-art techniques and highlights some approaches and algorithms employed in wireless and satellite systems for geolocation and target tracking that may be extremely beneficial. In addition, a comparison between different conventional geolocation techniques has been revealed, and the comparisons between various approaches and algorithms of geolocation and target tracking have been addressed, including H∞ and Kalman Filtering versions that have been implemented and investigated by authors.



2014 ◽  
Vol 57 (10) ◽  
pp. 1918-1926 ◽  
Author(s):  
HuiXin Qin ◽  
Jun Ma ◽  
ChunNi Wang ◽  
RunTong Chu




Author(s):  
Nikolay Korovkin ◽  
Yury Balagula ◽  
Alexei Adalev ◽  
Jurgen Nitsch


1992 ◽  
Vol 46 (1) ◽  
pp. 186-193 ◽  
Author(s):  
H.-D. Meyer ◽  
S. Pal ◽  
U. V. Riss




2014 ◽  
Vol 23 (7) ◽  
pp. 078906 ◽  
Author(s):  
Li-Sheng Zhang ◽  
Xu-Hong Liao ◽  
Yuan-Yuan Mi ◽  
Yu Qian ◽  
Gang Hu


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