Signal processing method of spectrum analyzer and spectrum analyzer

Abstract

A signal processing method of a spectrum analyzer and the spectrum analyzer, the spectrum analyzer includes a radio frequency scanning module, a data acquisition module, a detection module, a display module and a control processing module, wherein the control processing module obtains the endpoints of a plurality of predefined scanning frequency bands Frequency and receive the scanning parameters input by the user, and determine the endpoint frequencies of multiple detection frequency bands according to the endpoint frequencies and scanning parameters of multiple scanning frequency bands. When it is detected that the endpoint frequency of the scanning frequency band does not coincide with the endpoint frequency of any detection frequency The endpoint frequency of the scanning frequency band sent to the radio frequency scanning module is adjusted, the endpoint frequency of the scanning frequency band is sent to the radio frequency scanning module, and the endpoint frequency of the detection frequency band is sent to the detection module, so that the radio frequency scanning module treats it according to the scanning frequency band determined by the control processing module The test signal is scanned so that the actual scanning frequency band matches the frequency range of the entire RF scanning and the data processing requirements configured by the user.

Description

technical field [0001] The invention relates to the technical field of electrical signal measurement, in particular to a signal processing method of a spectrum analyzer and the spectrum analyzer. Background technique [0002] In the process of understanding radio signals, two forms of signal analysis are usually used, namely time domain analysis and frequency domain analysis. Time-domain analysis uses the time axis as the coordinate to represent the relationship of dynamic signals, and frequency-domain analysis uses the frequency as the coordinate axis to represent the relationship between dynamic signals. Although time-domain analysis is intuitive, it is not conducive to deeply analyzing the spectral characteristics of the signal. Therefore, technical Personnel often use spectrum analysis instruments to understand the characteristics of signals from the perspective of frequency domain analysis. [0003] Spectrum analysis instrument is a common equipment for studying the sp...

AI Technical Summary

Problems solved by technology

In turn, a detection frequency band spans two RF channels. Due to the difference in physical channel characteristics, the detection data cannot be normally compensated for RF frequency response, resulting in abnormal spectrum waveforms.

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