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http://hdl.handle.net/2289/7803
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DC Field | Value | Language |
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dc.contributor.author | T, Prabu | - |
dc.contributor.author | B, Stappers | - |
dc.contributor.author | A, Ghalame | - |
dc.contributor.author | L, Levin | - |
dc.contributor.author | A, Karastergiou | - |
dc.contributor.author | J, Roy | - |
dc.contributor.author | M, Mickaliger | - |
dc.contributor.author | M, Keith | - |
dc.date.accessioned | 2021-07-27T06:14:02Z | - |
dc.date.available | 2021-07-27T06:14:02Z | - |
dc.date.issued | 2020-09 | - |
dc.identifier.citation | 33rd General Assembly and Scientific Symposium of the International-Union-of-Radio-Science | en_US |
dc.identifier.uri | http://hdl.handle.net/2289/7803 | - |
dc.description | Restricted Access | en_US |
dc.description.abstract | This paper presents a design which uses an FPGA (Field Programmable Gate Array) to search for radio pulsars in binary systems for the Square Kilometre Array (SKA). The search pipeline executes Doppler de-acceleration algorithm in real-time to identify binary pulsar spin periods. It involves a very large computation and the algorithm implementation for a real-time execution with power efficiency for the SKA is a challenging task. The design follows a Fourier domain acceleration search method, which is essentially a matched filtering technique, where the complex spectra of the dedispersed time-series are convolved with a set of Doppler demodulation templates. Convolution outputs are systematically summed over a number of harmonics and signatures of periodic signals are detected and passed on for subsequent downstream processing. This design is developed for modern FPGA technology and a prototype of the design is implemented and tested on a commercial FPGA accelerator platform. Salient details of the work are presented in the paper. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.rights | 2020 IEEE | en_US |
dc.title | FPGA architecture to search for accelerated pulsars with SKA | en_US |
dc.type | Article | en_US |
Appears in Collections: | Research Papers(EEG) |
Files in This Item:
File | Description | Size | Format | |
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2020_URSI GASS.pdf Restricted Access | Restricted Access | 1.27 MB | Adobe PDF | View/Open Request a copy |
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