Radio Frequency Interference Mitigation in Radioastronomy

Kesteven, M. J.

doi:10.1109/icassp.2005.1416443

Cited by 4 publications

(6 citation statements)

References 9 publications

(5 reference statements)

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“…In this section the performance of the proposed method is compared against frequency-and TF-based detectors, which are widely used in radio astronomy [7], [9]. These methods evaluate the magnitude of the frequency bin that corresponds to the ADS-B center frequency (1,090 MHz), flagging the presence of interference in the p th -signal frame if the calculated value is above a predefined threshold.…”

Section: Performance Assessmentmentioning

confidence: 99%

“…The former detects interference using the raw input voltage levels, where the detectors are usually implemented in hardware [7]. In the post-correlation case, the detection occurs after an integration process, where the time resolution is reduced [8], and may be considerably labor intensive [9]. Considering the pre-correlation techniques typically employed for detection, they can be classified as thresholdbased, where the raw input voltage levels are compared with a pre-defined threshold in the time, frequency, and timefrequency (TF) domains [9], [7], and statistical-based, which analyzes statistical moments, such as kurtosis, to determine the presence of interference [7].…”

Section: Introductionmentioning

confidence: 99%

“…The performance of the proposed detector is assessed using signals captured by the Parkes radio telescope, situated in Parkes, Australia, which is continuously affected by signals from aircraft, due to its proximity to the nearby airport. Moreover, the effectiveness of the proposed method is compared with frequency-and TF-based RFI detectors reported in the literature [9], [7].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

ADS-B Signal Detection via Time-Frequency Analysis for Radio Astronomy Applications

Silva

Cetin

Martins

2021

2021 IEEE International Symposium on Circuits and Systems (ISCAS)

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This paper proposes a time-frequency (TF) domain technique for detecting the presence of automatic dependent surveillance-broadcast (ADS-B) interference signals in radio astronomy applications. The proposed technique uses a priori knowledge about the ADS-B signal's frequency information and compares it with the received signal's spectrogram time slices via the cosine similarity function. In the presence of ADS-B signals, the similarity levels are higher, whereas in their absence the levels are lower. Hence, the proposed approach exploits this to detect the presence of such signals. Simulation results using signals from the Parkes radio telescope show the efficacy of the proposed method in detecting the presence of ADS-B signals when compared with other classic detectors.

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Section: Performance Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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ADS-B Signal Detection via Time-Frequency Analysis for Radio Astronomy Applications

Silva

Cetin

Martins

2021

2021 IEEE International Symposium on Circuits and Systems (ISCAS)

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“…In radio astronomy, radio frequency interference (RFI) becomes more and more serious for radio observational facilities (Kesteven 2005;An et al 2017;Zeng et al 2021). The days of interference-free observations in radio astronomy are long gone.…”

Section: Introductionmentioning

confidence: 99%

Radio Frequency Interference Mitigation and Statistics in the Spectral Observations of FAST

Zhang

Xu²,

Wang³

et al. 2022

Res. Astron. Astrophys.

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In radio astronomy, radio frequency interference (RFI) becomes more and more serious for radio observational facilities. The RFI always influences the search and study of the interesting astronomical objects. Mitigating the RFI becomes an essential procedure in any survey data processing. Five-hundred-meter Aperture Spherical radio Telescope (FAST) is an extremely sensitive radio telescope. It is necessary to find out an effective and precise RFI mitigation method for FAST data processing. In this work, we introduce a method to mitigate the RFI in FAST spectral observation and make a statistics for the RFI using ∼300 hours FAST data. The details are as follows. Firstly, according to the characteristics of FAST spectra, we propose to use the ArPLS algorithm for baseline fitting. Our test results show that it has a good performance. Secondly, we flag the RFI with four strategies, which are to flag extremely strong RFI, flag long-lasting RFI, flag polarized RFI, and flag beam-combined RFI, respectively. The test results show that all the RFI above a preset threshold could be flagged. Thirdly, we make a statistics for the probabilities of polarized XX and YY RFI in FAST observations. The statistical results could tell us which frequencies are relatively quiescent. With such statistical data, we are able to avoid using such frequencies in our spectral observations. Finally, based on the ∼300 hours FAST data, we got an RFI table, which is the most complete database currently for FAST.

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“…Compared to that experiment, our canceler offers the following enhancements: Our platform, like those of Baan et al (2004aBaan et al ( , 2004b, Kesteven et al (2005), and Kesteven (2005), is programmable rather than fixed dedicated hardware. In addition, we implement a complex valued LMS FIR filter and allow a programmable trade-off between filter length (up to 42 taps) and bandwidth (up to 4 MHz).…”

Section: Introductionmentioning

confidence: 99%

Programmable Real-Time Cancellation ofGLONASSInterference with the Green Bank Telescope

et al. 2005

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A programmable, real-time, digital signal processing (DSP), least-mean-squares (LMS) interference canceler was developed and demonstrated as a successful method of excising the GLONASS satellite L-band downlink signals from the 100 m Green Bank Telescope (GBT ). This canceler has the potential for aiding the observation of redshifted OH lines near 1600 MHz in the presence of GLONASS signals. Our canceler approach is similar to experiments reported by Barnbaum and Bradley, Baan et al., and Kesteven et al. for mitigating ground-based radio frequency interference (RFI), but we add the new features of a tracking dish antenna to follow the satellite for improved cancellation performance, complex adaptive filter coefficients that reduce the required filter length, and a programmable delay line for bulk time delay correction. An analysis of LMS tracking performance for moving satellites is presented, and effective use of a reference antenna distantly located from the telescope is demonstrated. As is expected from the known properties of LMS cancelers, larger filter orders are shown to yield more reliable cancellation and are less sensitive to data time misalignment. GLONASS interference seen by the GBT was suppressed below the noise floor without corrupting a signal that simulated an astronomical source, even with rapid orbital transits and long integration times.

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Radio Frequency Interference Mitigation in Radioastronomy

Cited by 4 publications

References 9 publications

ADS-B Signal Detection via Time-Frequency Analysis for Radio Astronomy Applications

ADS-B Signal Detection via Time-Frequency Analysis for Radio Astronomy Applications

Radio Frequency Interference Mitigation and Statistics in the Spectral Observations of FAST

Programmable Real-Time Cancellation ofGLONASSInterference with the Green Bank Telescope

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