Please use this identifier to cite or link to this item: http://hdl.handle.net/2289/810
Title: Real-time signal processor for pulsar studies
Authors: Ramkumar, P.S.
Deshpande, A.A.
Keywords: Stars: neutron—pulsars
interstellar medium
Dispersion—Faraday rotation
Telescope: GMRT
Instrumentation
Issue Date: 2001
Publisher: Indian Academy of Sciences, Bangalore, India.
Citation: Journal of Astrophysics and Astronomy, 2001, Vol. 22, p321-342.
Abstract: This paper describes the design, tests and preliminary results of a real-time parallel signal processor built to aid a wide variety of pulsar observations. The signal processor reduces the distortions caused by the effects of dispersion, Faraday rotation, Doppler acceleration and parallactic angle variations, at a sustained datarate of 32M samples/sec. It also folds the pulses coherently over the period and integrates adjacent samples in time and frequency to enhance the signal-to-noise ratio. The resulting data are recorded for further off-line analysis of the characteristics of pulsars and the intervening medium. The signal processing for analysis of pulsar signals is quite complex, imposing the need for a high computational through put, typically of the order of a Giga operations per second (GOPS). Conventionally, the high computational demand restricts the flexibility to handle only a few types of pulsar observations. This instrument is designed to handle a wide variety of Pulsar observations with the Giant Metre Wave Radio Telescope (GMRT), and is flexible enough to be used in many other high-speed, signal processing applications. The technology used includes field-programmable-gate-array (FPGA) based data/code routing interfaces, PC-AT based control, diagnostics and data acquisition, digital signal processor (DSP) chip based parallel processing nodes and C language based control software and DSP-assembly programs for signal processing. The architecture and the software implementation of the parallel processor are fine-tuned to realize about 60MOPS per DSP node and amultiple-instruction-multiple-data (MIMD) capability.
URI: http://hdl.handle.net/2289/810
ISSN: 0250-6335
Copyright: Indian Academy of Sciences, Bangalore, India.
Appears in Collections:Research Papers (A&A)

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