Please use this identifier to cite or link to this item:
http://hdl.handle.net/2289/7803| Title: | FPGA architecture to search for accelerated pulsars with SKA |
| Authors: | T, Prabu B, Stappers A, Ghalame L, Levin A, Karastergiou J, Roy M, Mickaliger M, Keith |
| Issue Date: | Sep-2020 |
| Publisher: | IEEE |
| Citation: | 33rd General Assembly and Scientific Symposium of the International-Union-of-Radio-Science |
| 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. |
| Description: | Restricted Access |
| URI: | http://hdl.handle.net/2289/7803 |
| Copyright: | 2020 IEEE |
| Appears in Collections: | Research Papers(EEG) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2020_URSI GASS.pdf Restricted Access | Restricted Access | 1.27 MB | Adobe PDF | View/Open Request a copy |
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