Method for unknown signal automatic search for spectrum analyzer

Abstract

The invention discloses a method for an unknown signal automatic search for a spectrum analyzer. The method is achieved through the spectrum analyzer. The method mainly comprises the steps that an attenuation value of the spectrum analyzer is set to be the maximum; the spectrum analyzer is arranged; whole-bandwidth scanning is conducted; whether signals exist in whole bandwidth data obtained through scanning is detected. The method for unknown signal automatic search for the spectrum analyzer has the function of unknown signal automatic search, when signal search is conducted, automatic setting, automatic scanning and automatic detection inside the spectrum analyzer are conducted, the signals can be detected accurately, signal parameters are recorded to a file, and the spectrum analyzer is set to the maximum parameter for display, so that a large amount of labor force is saved and the method has the value of popularization and use.

Description

technical field [0001] The invention relates to a method for searching out unknown signals related to spectrum analyzers in the instrumentation industry, in particular to a method for automatically searching unknown signals for spectrum analyzers. Background technique [0002] Spectrum analyzer is an instrument for studying the spectrum structure of electrical signals. It is used to measure signal parameters such as signal distortion, modulation degree, spectral purity, frequency stability and intermodulation distortion. It can measure certain components of circuit systems such as amplifiers and filters. Parameter, is a multipurpose electronic measuring instrument. It can also be called frequency domain oscilloscope, tracking oscilloscope, analysis oscilloscope, harmonic analyzer, frequency characteristic analyzer or Fourier analyzer, etc. Modern spectrum analyzers can display analysis results in analog or digital modes, and can analyze electrical signals in all radio frequ...

AI Technical Summary

Problems solved by technology

There are generally two types of spectrum analyzers according to different signal processing methods; real-time spectrum analyzers and sweep-tuned spectrum analyzers. The function of real-time frequency analyzers is to display the signal amplitude in the frequency domain at the same moment. There are corresponding filters and detectors for the frequency signal, and then the signal is transmitted to a display device such as a CRT or liquid crystal through a synchronous multiplex scanner for display. Its advantage is that it can display the instantaneous response of periodic spurious waves , its disadvantage is that it is expensive and its performance is limited to the bandwidth range, the number of filters and the maximum multiplexing switching time. The most commonly used spectrum analyzer is a scanning tuned spectrum analyzer, and its basic structure is similar to a superheterodyne receiver , the working principle is that the input signal is directly applied to the mixer through the attenuator, and the adjustable local oscillator generates an oscillation frequency that changes linearly with time through the scanning generator synchronized with the CRT, and is mixed with the input signal by the mixer The intermediate frequency signal (IF) after frequency reduction is amplified again, filtered and detected and sent to the vertical direction board of CRT, so the corresponding relationship between signal amplitude and frequency is displayed on the vertical axis of CRT

A lower RBW is of course helpful for distinguishing and measuring signals of different frequencies. A lower RBW will filter out higher frequency signal components, resulting in distortion when the signal is displayed. The distortion value is closely related to the set RBW, and a higher RBW Although it is helpful for the detection of broadband signals, it will increase the bottom value of the noise, reduce the measurement sensitivity, and easily hinder the detection of low-intensity signals. Therefore, an appropriate RBW width is an important concept for the correct use of spectrum analyzers

[0003] The spectrum analyzer currently used does not have the function of automatically searching for unknown signals, and manual adjustment is required when searching for signals, and the staff needs to keep paying attention to the displayed curve until the unknown signal is found, which requires a lot of wasted manpower , and there may be errors

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