A signal modulation identification device

Abstract

The invention discloses a signal modulation identification device, which adopts a band-pass sampling mode to collect broadband signals and complete the digitization of analog signals. After time-Fourier analysis, smoothing noise reduction, broadband noise reduction and threshold detection, the suspected signals are screened out from the broadband spectrum containing a large number of interference and useless signals through the joint identification of spectrum instantaneous features and spectrum continuous features, reducing the burden on the back-end The processing pressure effectively improves the identification efficiency; the digital orthogonal frequency conversion and baseband filtering functions are realized through the digital down-conversion module; the modulation identification module is based on the spectrum characteristics of different modulation signals and supplemented by time-domain waveform features to select classification feature recognition parameters for broadband The signal is modulated and identified, which effectively improves the accuracy of identification.

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 ...

AI Technical Summary

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

Images