Python-based radar real-time signal processing method

Abstract

The invention relates to a python-based radar real-time signal processing method, and belongs to the technical field of signal processing. The method comprises six steps, multi-process parallel data processing is realized, and processes are used for replacing threads to process multi-wave-position data in parallel, so that the data calculation efficiency is improved. Data is stored in a shared memory, and the I / O efficiency of the data is improved by sharing the same memory among processes, so that the transmission loss is effectively reduced. Meanwhile, a single process is bound to a single core to complete calculation, and calculation efficiency loss caused by data transmission among multiple cores in the calculation process is avoided. Matrix operation is adopted for data calculation, and programming complexity is simplified. And controlling the effectiveness and continuity of the current data packet of the process through a section of network data flow. The method is high in accessefficiency, quick and accurate in radar signal data processing, capable of shortening the development period, matched with existing radar hardware equipment, good in cross-platform compatibility andconvenient to operate. The problems of low access efficiency and incapability of truly realizing parallelism of multiple threads in the prior art are solved.

Description

technical field [0001] The invention relates to a python-based real-time radar signal processing method, which belongs to the technical field of signal processing. Background technique [0002] Data processing in radar signals is related to the accuracy of radar target signal processing. Therefore, the continuous development of high-performance data processing methods has become the goal of researchers in this field. With the support of hardware equipment, data processing in radar signals is inseparable from corresponding signal processing software. The currently developed signal processing software mostly adopts C / C++ / java language, which has a long development cycle and requires high ability of developers, and it is difficult to adapt to the characteristics of radar's rapid processing and instantaneous capture of targets. Python has the advantages of simple language, good cross-platform compatibility, mixed use with other languages ​​such as C, rich libraries, open sourc...

AI Technical Summary

Problems solved by technology

Most of the currently developed signal processing software adopts C / C++ / java language, which requires a long development cycle and high requirements on the ability of developers, making it difficult to adapt to the characteristics of rapid radar processing and instantaneous capture of targets.

Python has the advantages of simple language, good cross-platform compatibility, mixed use with other languages ​​such as C, rich libraries, open source features, and many third-party libraries; but Python's parallel synchronization lock hinders data access efficiency , and there is a GIL global interpretation lock in python, so that python's multithreading cannot truly achieve multi-core parallel computing

Signal processing programs that cannot be processed in parallel by multiple cores have limited computing power and cannot meet the requirements of real-time data processing, and the availability is extremely low

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