Pulsar signal multichannel filtering method and device and storage medium

Abstract

The invention provides a pulsar signal multichannel filtering method and device and a storage medium. The method comprises: constructing a window function; constructing a finite length unit impulse response filter based on the window function; carrying out multiphase decomposition on the finite-length unit impulse response filter to obtain a plurality of finite-length unit impulse response sub-filters with different phases; inputting the coefficients of the plurality of finite-length unit impulse response sub-filters with different phases and the baseband data of the pulsar into a GPU so as tocarry out finite-length unit impulse response multiphase filtering on the baseband data in the GPU; performing fourier transform on the multiphase filtering result to obtain multichannel data, wherein the number of channels is equal to the number of threads in the GPU; and inputting the multichannel data into the CPU to obtain a data file in a filterbank format. According to the method provided by the invention, spectrum leakage can be avoided, and the real-time high-speed channel division requirement of radio signals can be met.

Description

technical field [0001] The present disclosure relates to the field of radio astronomy signal processing, in particular to a multi-channel filtering method, device and storage medium for pulsar signals. Background technique [0002] A pulsar is a rapidly rotating neutron star with a very high density and a stable period that emits radiation along its magnetic poles. As its radiation sweeps across Earth, periodic pulses are picked up by radio telescopes on Earth. Radio telescopes process incoming pulsar signals through terminal equipment. The terminal system based on field programmable gate array (Field Programmable Gate Array, FPGA) has been occupying the main position for decades, but with the improvement of graphics processing unit (Graphic Processing Unit, GPU) performance and the continuous improvement of the development tool chain, digital terminals use The processing part of the signal has quietly turned to a computing system with GPU as the core. [0003] In recent y...

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Problems solved by technology

[0005] First of all, the existing pulsar signal channel division methods generally use fast Fourier transform to divide the channel of pulsar signal, resulting in a relatively wide filter window. After Fourier transform, the final frequency domain contains the actual frequency and other frequency components , that is, spectrum leakage occurs, which affects the study of weak radio pulsar signals

[0006] In addition, the existing pulsar signal channel division method is difficult to meet the real-time channel division of astronomical massive data, and the number of channels is very limited and the resolution is relatively low

Some observational studies require high-resolution data analysis of millions of channels, and the currently used sub-channel technology cannot meet this demand

[0007] Furthermore, the existing hardware platforms for real-time signal processing and high-speed channel division are expensive, such as FPGA or application-specific integrated circuits, which have relatively complex implementation structures, poor flexibility and scalability, and high system development cycles and costs.

[0008] Therefore, there is an urgent need for a multi-channel filtering method for pulsar signals to solve the problem of spectrum leakage and meet the real-time high-speed channel division requirements of radio signals

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