Measurement of duration and signal-to-noise ratio of astronomical transients using a Spectral Kurtosis spectrometer
Document Type
Article
Publication Date
8-1-2016
Abstract
Following our prior theoretical and instrumental work addressing the problem of automatic real-time radio frequency interference (RFI) detection and excision from astronomical signals, the wideband Spectral Kurtosis (SK) spectrometer design we proposed is currently being considered as an alternative to the traditional spectrometers when building the new generation of radio instruments. The unique characteristic of an SK spectrometer is that it accumulates both power and power-squared, which are then used to compute an SK statistical estimator proven to be very effective in detecting and excising certain types of RFI signals. In this paper we introduce a novel measurement technique that exploits the power and power square statistics of an SK spectrometer to determine durations and signal-to-noise ratios of transient signals, whether they are RFI or natural signals, even when they are below the time resolution of the instrument. We demonstrate this novel experimental technique by analyzing a segment of data recorded by the Expanded Owens Valley Solar Array Subsystem Testbed (EST) during a solar radio burst in which microwave spike bursts occurred with durations shorter than the 20 ms time resolution of the instrument. The duration of one well-observed spike is quantitatively shown to be within a few percent of 8 ms despite the 20 ms resolution of the data.
Identifier
84987784965 (Scopus)
Publication Title
Journal of Geophysical Research Space Physics
External Full Text Location
https://doi.org/10.1002/2016JA022615
e-ISSN
21699402
ISSN
21699380
First Page
7353
Last Page
7366
Issue
8
Volume
121
Grant
1250374
Fund Ref
National Science Foundation
Recommended Citation
Nita, Gelu M. and Gary, Dale E., "Measurement of duration and signal-to-noise ratio of astronomical transients using a Spectral Kurtosis spectrometer" (2016). Faculty Publications. 10347.
https://digitalcommons.njit.edu/fac_pubs/10347