Signal modulation identification device

Abstract

The invention discloses a signal modulation identification device which, by using a band-pass sampling mode, collects broadband signals and completes digitization of analog signals. The device is lowin sampling rate and can guarantee effective bits of data to the maximum extent. After the broadband signals are subjected to short-time Fourier analysis, smooth noise reduction, broadband noise reduction and threshold detection in a broadband detection module, the suspected signals are screened out from broadband spectrums containing a large number of interference and useless signals through joint judgment and identification of spectrum instantaneous characteristics and spectrum continuous characteristics, so that the back-end processing pressure is reduced, and the identification efficiencyis effectively improved; in addition, digital quadrature frequency conversion and baseband filtering functions are realized through the digital down-conversion module; and the modulation identification module selects classification characteristic identification parameters to perform modulation identification on broadband signals based on frequency spectrum characteristics of signals in different modulation modes and time domain waveform characteristics, thereby effectively improving identification accuracy.

Description

technical field [0001] The invention belongs to the technical field of communication equipment, and relates to a signal modulation identification equipment. Background technique [0002] With the rapid development of modern communication technology, automatic recognition of the modulation mode of communication signals has a very wide range of applications in the civil and military fields, especially in national security. Therefore, modulation recognition has become a very important research in the field of signal analysis and processing. direction. [0003] The recognition methods of modulated signals can be divided into two categories: one is the decision theory method, and the other is the statistical pattern recognition method. The former uses hypothesis testing theory to solve the signal classification problem. Usually, according to the statistical characteristics of the signal and based on the principle of minimizing the cost function, the statistical test quantity is ...

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Problems solved by technology

[0004] In the case of broadband reception, the existing signal modulation identification equipment cannot perform optimal reception for a certain signal due to the existence of strong signals and strong interference, resulting in poor signal-to-noise ratio of the received signal, which brings great harm to the blind signal detection. It is easy to cause the loss of weak signals. At the same time, due to the large amount of signal energy collected, the back-end processing pressure is high and the recognition efficiency is low. In addition, in the existing modulation recognition algorithm, the classification feature recognition parameters are relatively single, and the recognition accuracy is low. Low

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