Real-time correlator based on FPGA, GPU and CPU mixed architecture

Abstract

The invention provides a real-time correlator based on an FPGA, GPU and CPU mixed architecture. The real-time correlator comprises a signal sampling module which is provided with N channels used for sampling N channels of signals; an FPGA-based signal preprocessing module which is arranged to carry out frequency mixing, low-pass filtering and packing sequentially on the signals sampled by the channels, a CPU-based unpacking module which is arranged to unpack the signals packed by the signal preprocessing module, a GPU-based signal processing and correlation operation module which is arranged to carry out multi-phase filtering, Fourier transform, correlation operation and integration sequentially on the N channels of unpacked signals, and a CPU-based control module which is arranged to control corresponding processing by the signal preprocessing module and the signal processing and correlation operation module on one hand and is arranged to store and display the signals after integration on the other hand. The barrier that large-scale capacity expansion cannot be carried out due to limited FPGA logic resources is overcome, and the problem that the computing ability of a CPU is limited is solved.

Description

technical field [0001] The invention relates to a real-time correlator based on FPGA, GPU and CPU hybrid architecture, which is suitable for radio astronomy observation and microwave remote sensing measurement with high spectral resolution requirements, such as radio astronomy polarization observation, very long baseline interferometry, microwave holography Antenna profile measurement and synthetic aperture microwave remote sensing technology, etc. Background technique [0002] Synthetic aperture technology can "break the whole into zero", equivalent to a super large telescope into many small dual-antenna interferometers with different baseline lengths, and can "gather the zeros into whole" during data processing, merging the interferometric data of each dual-antenna Therefore, it can form an array of many small telescopes to achieve the effect of a super large telescope. Since the advent of this technology in the 1950s, the United Kingdom, Australia, and the United States ...

AI Technical Summary

Problems solved by technology

It not only overcomes the barriers of limited FPGA logic resources that cannot be expanded on a large scale, but also solves the problems of limited CPU computing power and the need to establish a large number of CPU clusters for large-scale digital correlation, system complexity, power consumption, and cost. High precision time requirements and high spectral resolution requirements of the correlator, system flexibility and scalability are extremely high

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