Reconfigurable DBF algorithm hardware accelerator and control method

Abstract

The invention relates to a reconfigurable DBF algorithm hardware accelerator and a control method. The accelerator comprises a reconfiguration control module which is used for receiving DBF algorithm information data sent out by an upper computer, and deciding whether to send out a reconfiguration control signal according to DBF algorithm information; a data storage module which is used for finishing writing, storage and reading of the DBF algorithm information data; and a DBF operation module which is used for reading data from the data storage module, finishing operation of a DBF algorithm and outputting a corresponding result. The reconfigurable DBF algorithm hardware accelerator and the control method provided by the invention have the following beneficial effects: the contradictions that a special DBF processor is poor in universality and the speed of calculating the DBF by a universal processor is slow can be solved, and a reconfigurable architecture can improve the flexibility of the algorithm, realize full pipeline output of source data, and improve the operation efficiency and timeliness of the algorithm.

Description

technical field [0001] The invention relates to a DBF algorithm processing unit based on fixed resources and its hardware implementation, in particular to a reconfigurable DBF algorithm hardware architecture. Background technique [0002] Digital signal processing technology is not only widely used in multimedia, data communication, radar imaging, geological exploration, aerospace and other engineering technology fields, but also has become one of the theoretical foundations of emerging disciplines such as artificial intelligence, pattern recognition, and neural networks in recent years. widely. With the continuous improvement of semiconductor technology and the rapid development of DSP devices, it is possible to process large quantities of data in real time. However, for many fields such as radar imaging with high real-time requirements, the general solution—that is, to use DSP for signal calculation, will be greatly limited by the throughput rate, which is far from meetin...

AI Technical Summary

Problems solved by technology

For many fields such as radar imaging with high real-time requirements, using a common solution—that is, using DSP for signal calculations, will be greatly limited by the throughput rate, and it is far from meeting the real-time requirements of fast processing.

However, relying solely on increasing the main frequency of the processing components and the communication bandwidth of the storage components cannot solve the core problem, and the design architecture is the bottleneck.

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