Afterglow generation method of spectrum analyzer and spectrum analyzer

Abstract

The invention provides an afterglow generation method of a spectrum analyzer and the spectrum analyzer. The method comprises the steps that orthogonal mixing processing is carried out on an input signal of the spectrum analyzer to acquire a complex baseband signal; FFT calculation is carried out on the complex baseband signal to generate FFT calculation result data; according to preset integers Gand P, G FFT calculation results are in a group; P FFT calculation data in each FFT calculation result are in one piece, and FFT calculation result data are divided into A groups and B pieces; displayinterpolation processing is carried out on each FFT calculation result datum; the display interpolation processing result of each group in the same piece are subjected to histogram statistical accumulation to generate the histogram statistics of each piece of FFT calculation result data; and according to a predefined color mapping value and the histogram statistics of each piece in afterglow time, an afterglow display image is generated. According to the invention, the FFT calculation data are grouped and fragmented; the feature of high bandwidth efficiency of DRAM sequential access is fullyutilized; and a large number of calculations of display interpolation are completed in a 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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