2012
DOI: 10.1063/1.4730684
|View full text |Cite
|
Sign up to set email alerts
|

Indication of radio frequency interference (RFI) sources for solar burst monitoring in Malaysia

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
65
0

Year Published

2014
2014
2023
2023

Publication Types

Select...
5
1
1

Relationship

0
7

Authors

Journals

citations
Cited by 66 publications
(65 citation statements)
references
References 2 publications
0
65
0
Order By: Relevance
“…It is interesting to note that from the analysis, the mobile phone transmission and a strong signal from TETRA (Terrestrial Trunked Radio) can be detected respectively at 850 MHz and around 390 MHz. An interesting feature can be observed between 240 MHz and 280 MHz [254]. It shows downlinks from US military satellites with about 10 dB above the noise level.…”
Section: Radio Frequency Interference (Rfi) Testingmentioning
confidence: 81%
See 3 more Smart Citations
“…It is interesting to note that from the analysis, the mobile phone transmission and a strong signal from TETRA (Terrestrial Trunked Radio) can be detected respectively at 850 MHz and around 390 MHz. An interesting feature can be observed between 240 MHz and 280 MHz [254]. It shows downlinks from US military satellites with about 10 dB above the noise level.…”
Section: Radio Frequency Interference (Rfi) Testingmentioning
confidence: 81%
“…Due to these results, there are three frequency ranges can be identified for useful astronomical observations: (i) between 45 MHz and 80 MHz (ii) between 240 MHz and 380 MHz and (iii) between 780 MHz and 850 MHz. From the analysis, it is found that the signal to noise ratio is 3.9 dB [257].…”
Section: Radio Frequency Interference (Rfi) Testingmentioning
confidence: 99%
See 2 more Smart Citations
“…MARA University of Technology, University of Malaya, and the National University of Malaysia and National Space Agency (ANGKASA) are the universities and government agencies that involve this research [4]. In 2011, preliminary analysis of the Radio Frequency Interference (RFI) indication has been done [5,6]. We also have analyzed the RFI pattern due to population density, which is specifically for the solar monitoring purpose [7].…”
Section: Introductionmentioning
confidence: 99%