Spectral kurtosis statistics of quantized signals
Document Type
Conference Proceeding
Publication Date
1-25-2017
Abstract
We investigate the bias of the Spectral Kurtosis Estimator induced by the quantization and bit truncation of the accumulated spectral power, which are standard signal manipulation operations performed by radio astronomy instruments that produce Power Spectral Density (PSD) estimates by means of sequential Discret Fourier Transform (DFT) operations. We demonstrate that these bias may be properly accounted for by adjusting the shape parameter of the Gamma distribution according to which the accumulated PSD estimates are expected to be distributed without quantization. To demonstrate the validity of this approach, we test the performance of an empirically tuned SK estimator using 2-bit auto-correlation data produced by the Parkes telescope.
Identifier
85014194068 (Scopus)
ISBN
[9781509062010]
Publication Title
Proceedings of 2016 Radio Frequency Interference Coexisting with Radio Frequency Interference Rfi 2016
External Full Text Location
https://doi.org/10.1109/RFINT.2016.7833535
First Page
75
Last Page
80
Grant
AST-1615807
Fund Ref
National Science Foundation
Recommended Citation
Nita, Gelu M.; Gary, Dale E.; and Hellbourg, Gregory, "Spectral kurtosis statistics of quantized signals" (2017). Faculty Publications. 9793.
https://digitalcommons.njit.edu/fac_pubs/9793
