Proceedings Article10.23919/apmc55665.2022.9999879
Pre-integration Digital Spectrometer
Hiroyuki Nakanishi,Masataka Furuhashi,Saeko Nakahara +2 more
- 29 Nov 2022
pp 590-592
TL;DR: In this article , a novel digital spectrometer is proposed aiming to reduce the number of numerical operations implemented on field-programmable gate arrays (FPGA), which includes the Hilbert transformation, a semi-autocorrelation generation, and integration parts.
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Abstract: A novel digital spectrometer is proposed aiming to reduce the number of numerical operations implemented on field-programmable gate arrays (FPGA). The novel model includes the Hilbert transformation, a semi-autocorrelation generation, and integration parts. If the integration number is sufficiently large, then the integrated semi-autocorrelation vector is equivalent to the autocorrelation function. A power spectrum is finally obtained by applying a fast Fourier transformation (FFT) to it. The proposed model requires less number of operations compared with the classical normal spectrometer. We tested the functioning of the new algorithm works using simulation data and implemented it on an FPGA.
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A Decade of Developing Radio-Astronomy Instrumentation using CASPER Open-Source Technology
Jack Hickish,Zuhra Abdurashidova,Zaki S. Ali,Kaushal D. Buch,Sandeep C. Chaudhari,Hong Chen,Matthew R. Dexter,Rachel Simone Domagalski,Rachel Simone Domagalski,John Ford,John Ford,Griffin Foster,David George,Joe Greenberg,Lincoln J. Greenhill,A. R. Isaacson,Homin Jiang,Glenn Jones,F. Kapp,H. Kriel,Rich Lacasse,Andrew Lutomirski,David MacMahon,Jason Manley,Andrew Martens,Randy McCullough,Mekhala V. Muley,Wesley New,Aaron R. Parsons,Danny C. Price,Rurik A. Primiani,Jason Ray,Andrew Siemion,Andrew Siemion,Andrew Siemion,Verees'e Van Tonder,Laura Vertatschitsch,Mark Wagner,Mark Wagner,Jonathan Weintroub,Dan Werthimer +40 more
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