학술논문

Spectral Kurtosis applied to tied-array beamformer for pulsar observations
Document Type
Conference
Source
2023 XXXVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS) General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), 2023 XXXVth. :1-4 Aug, 2023
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Geoscience
Photonics and Electrooptics
Robotics and Control Systems
Signal Processing and Analysis
Correlation
Radio astronomy
Gaussian noise
Interference
Gaussian distribution
Threshold voltage
Correlators
Language
ISSN
2642-4339
Abstract
Astronomical sources are characterised using second-order power statistics because they have Gaussian distributions. Spectral Kurtosis is a tool that can suppress Gaussian noise and can therefore be used as an interference mitigation technique. However, care should be taken as transient sources such as pulsars may contain non-Gaussian components. This paper provides an overview of the Spectral Kurtosis estimator and how one obtains the thresholds in order to apply the estimator as an interference mitigation technique. The technique is applied to Vela pulsar data observed in tied-array beamformer mode by the MeerKAT radio telescope. Flagged data portions are replaced with uncontaminated portions of the observation. The results are compared to the corresponding unmitigated data set.