Method for generating afterglow of spectrum analyzer and spectrum analyzer

Abstract

The invention provides a method for generating afterglow of a spectrum analyzer and the spectrum analyzer. The method includes: performing quadrature mixing processing on an input signal of the spectrum analyzer to obtain a complex baseband signal; performing FFT calculation on the complex baseband signal to generate FFT calculation result data; Preset integers G and P, with G times of FFT calculation results as a group, and P pieces of FFT calculation data in each FFT calculation result as one piece, the FFT calculation result data is divided into A group and B slice; for each FFT calculation result Perform display interpolation processing on the data; perform histogram statistical accumulation on the display interpolation processing results of each group in the same slice, and generate the histogram statistics of the FFT calculation result data of each slice; according to the predefined color mapping value and the histogram of each slice within the afterglow time Graph statistics generate persistence display images. The invention performs grouping and fragmentation processing on FFT calculation data, fully utilizes the characteristic of high bandwidth efficiency during sequential access of DRAM, and completes a large number of calculations of display interpolation in a relatively short time.

Description

technical field [0001] The invention relates to signal processing technology, in particular to a method for generating afterglow of a spectrum analyzer and the spectrum analyzer. Background technique [0002] A traditional spectrum analyzer obtains the spectrum of the signal by down-converting the signal to be tested and measuring the signal passing through the intermediate frequency filter. The disadvantage of the spectrum analyzer in the prior art is that it can only measure the amplitude of one frequency point at a time, and it takes a long time to obtain spectrum data within a certain frequency span. The signal analyzed by the existing swept frequency spectrum analyzer requires the signal to be tested to be relatively stable and unchanged. But when the signal to be measured changes quickly, the change may be missed during one measurement. In order to measure such a signal, it may be necessary to perform multiple measurements or even impossible to observe. [0003] For ...

AI Technical Summary

Problems solved by technology

The disadvantage of the existing spectrum analyzer is that it can only measure the amplitude of one frequency point at a time. If it is necessary to obtain spectrum data within a certain frequency span, it will take a long time

The DSP engine will generate a large number of calculation results in a short period of time. When these calculation results are displayed to present the spectrum analysis results to the user, the existing technology is to detect the signal within a period of time. The detection method includes the maximum value Detection, minimum value detection, mean value detection, etc. This presentation method compresses the results of multiple FFT calculations to obtain a result, so the details of signal spectrum analysis will be lost

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