RFI detection by automated feature extraction and statistical analysis

Details RFI detection by automated feature extraction and statistical analysis RFI detection by automated feature extraction and statistical analysis

2006-09-18

arxiv.org/abs/astro-ph/0609485v1

Astron.Nachr. 328 (2007) 68-79

Astronomy and Astrophysics

Astrophysics

12 pages, 16 figures, accepted for publication in Astron. Notes

Scientific paper

10.1002/asna.200610661

In this paper we present an interference detection toolbox consisting of a high dynamic range Digital Fast-Fourier-Transform spectrometer (DFFT, based on FPGA-technology) and data analysis software for automated radio frequency interference (RFI) detection. The DFFT spectrometer allows high speed data storage of spectra on time scales of less than a second. The high dynamic range of the device assures constant calibration even during extremely powerful RFI events. The software uses an algorithm which performs a two-dimensional baseline fit in the time-frequency domain, searching automatically for RFI signals superposed on the spectral data. We demonstrate, that the software operates successfully on computer-generated RFI data as well as on real DFFT data recorded at the Effelsberg 100-m telescope. At 21-cm wavelength RFI signals can be identified down to the 4-sigma level. A statistical analysis of all RFI events detected in our observational data revealed that: (1) mean signal strength is comparable to the astronomical line emission of the Milky Way, (2) interferences are polarised, (3) electronic devices in the neighbourhood of the telescope contribute significantly to the RFI radiation. We also show that the radiometer equation is no longer fulfilled in presence of RFI signals.

Affiliated with

Also associated with

No associations

Rating

RFI detection by automated feature extraction and statistical analysis does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with RFI detection by automated feature extraction and statistical analysis, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and RFI detection by automated feature extraction and statistical analysis will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-646864