RFI subspace smearing and projection for array radio telescopes
Gregory Hellbourg

TL;DR
This paper investigates the impact of RFI subspace smearing on array radio telescope interference mitigation and proposes a covariance subtraction method to enhance spatial filtering effectiveness under high smearing conditions.
Contribution
It introduces an alternative covariance matrix subtraction technique to improve RFI mitigation when subspace smearing occurs due to source movement.
Findings
The proposed method enhances RFI suppression in high smearing scenarios.
Subspace smearing significantly affects traditional spatial filtering performance.
Covariance subtraction outperforms standard subspace projection under certain conditions.
Abstract
Active Radio Frequency Interference (RFI) mitigation becomes a necessity for radio astronomy. The solution commonly applied by the community consists in monitoring the statistics of the received signal, and flag out the detected corrupted data. Subspace projection with array radio telescopes has been suggested as an alternative to data excision to avoid important losses of data and overcome its inherent ineffectiveness with continuous interference. Spatial filtering relies on the estimation of the RFI spatial contribution, and the projection of the subspace spanned by the RFI out of the observed data vector space. To perform well, the dimensionality of the RFI subspace is constrained. RFI subspace estimation techniques assume the source of RFI to be spatially stationary over the sample covariance matrix evaluation. When the relative movement between the telescope and the interferer…
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Taxonomy
TopicsRadio Astronomy Observations and Technology · Antenna Design and Optimization · Direction-of-Arrival Estimation Techniques
