Simulating Spectral Kurtosis Mitigation Against Realistic RFI Signals
arXiv:2207.07642 · doi:10.3847/1538-3881/ac7e47
Abstract
We investigate the effectiveness of the statistical radio frequency interference (RFI) mitigation technique spectral kurtosis (SK) in the face of simulated realistic RFI signals. SK estimates the kurtosis of a collection of M power values in a single channel and provides a detection metric that is able to discern between human-made RFI and incoherent astronomical signals of interest. We test the ability of SK to flag signals with various representative modulation types, data rates, duty cycles, and carrier frequencies. We flag with various accumulation lengths M and implement multi-scale SK, which combines information from adjacent time-frequency bins to mitigate weaknesses in single-scale \SK. We find that signals with significant sidelobe emission from high data rates are harder to flag, as well as signals with a 50% effective duty cycle and weak signal-to-noise ratios. Multi-scale SK with at least one extra channel can detect both the center channel and side-band interference, flagging greater than 90% as long as the bin channel width is wider in frequency than the RFI.
arXiv commentAccepted to AJ. 19 pages, 15 figures
References in corpus (9)
- The low-frequency environment of the Murchison Widefield Array: radio-frequency interference analysis and mitigation
- The LOFAR radio environment
- The Generalized Spectral Kurtosis Estimator
- IQRM: real-time adaptive RFI masking for radio transient and pulsar searches
- EOVSA Implementation of a Spectral Kurtosis Correlator for Transient Detection and Classification
- CHILES: HI morphology and galaxy environment at z=0.12 and z=0.17
- Spectral Kurtosis Statistics of Transient Signals
- The Search for HI Emission at z in Gravitationally Lensed Galaxies with the Green Bank Telescope
- Mitigation of Pulsed Interference to Redshifted HI and OH Observations between 960 and 1215 MHz