Large-scale digital correlator based on central processing unit (CPU) and correlation operation handling method

Abstract

The invention discloses a large-scale digital correlator based on a central processing unit (CPU) and a correlation operation handling method. The correlator possesses strong flexibility and strong expandability, and mainly utilizes a general technology to solve a problem of the large-scale digital correlator. The large-scale digital correlator based on the CPU and the correlation operation handling method are applied to a comprehensive aperture telescope imaging field, and a cross correlation value of 80 groups of antennas reaches 80*(80-1) / 2. For example, the number of correlators of a two-dimensional system with high resolution can be more than ten thousand. Therefore, for a comprehensive aperture with high spatial resolution, the further improving factors of the spatial resolution is limited to transfer the contradiction of the antennas to the contradiction of the too large number of the correlators. Meanwhile, large amount of cross correlation causes pressure to system communication, and large amount of communication cost is sure to produce in frequent communication processes, then how to solve the problem of doubled number of the correlators caused by the large amount of cross correlation is a key task which must be solved when studying comprehensive aperture imaging.

Description

technical field [0001] The invention relates to the field of data communication, in particular to a large-scale digital correlator based on a CPU architecture and a related operation processing method. Background technique [0002] In the communication signal processing, the digital correlator essentially plays the role of a digital matched filter. It can perform correlation processing on a specific code sequence, thereby completing the decoding of the signal and recovering the transmitted information. Compared with the analog correlator, the digital correlator has strong flexibility, low power consumption and easy integration, and is widely used in many fields. [0003] In the first half of the 20th century, crystallographers developed a theory that images could be obtained by indirect methods. In the early 1950s, radio astronomers Ryle and others at the Cavendish Laboratory of the University of Cambridge developed this theory into a synthetic aperture technology in radio ...

AI Technical Summary

Problems solved by technology

But because it is still based on dedicated electronic devices, and once the design is fixed, there is little room for adjustment, so it often does not have good flexibility and scalability

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