Broadband wireless communication signal detection method and system in complex environment

Abstract

The invention belongs to the technical field of wireless communication signal identification, and particularly relates to a broadband wireless communication signal detection method and system in a complex environment, and the method comprises the steps: collecting broadband wireless communication signals, carrying out the preprocessing of the signals, and obtaining a time-frequency spectrogram of a unified size; generating a signal sample database for model training by using the time-frequency spectrogram; a signal detection model based on the centripetal offset network is constructed, the signal detection model is trained through the signal data in the signal sample database, and the signal detection model comprises an hourglass basic network, a feature processing module and a centripetal offset module; and preprocessing the broadband wireless communication signal to be detected, taking the preprocessed signal data as model input, and identifying the target position of the broadband wireless communication signal to be detected through the trained signal detection model. According to the invention, effective detection of broadband wireless communication signals in a complex environment can be realized, the detection effect is good, and the method is convenient for practical scene application.

Description

technical field [0001] The invention belongs to the technical field of wireless communication signal identification, in particular to a method and system for detecting broadband wireless communication signals in complex environments. Background technique [0002] With the rapid development of wireless communication technology in recent years, the wireless communication channel environment has become increasingly complex. For non-cooperative receivers, signal time-frequency aliasing, channel fading, non-Gaussian noise and low signal-to-noise ratio are very serious. It is common and brings considerable difficulties to the traditional blind detection technology of broadband wireless communication signals. At present, many researchers have proposed solutions to this problem. Some methods use the energy index of the broadband signal power spectrum as the detection basis, but this type of method is limited by the accuracy of signal noise floor estimation, and its performance decre...

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Problems solved by technology

[0004] Therefore, aiming at the problems of high probability of missed detection in the detection of broadband wireless communication signals in complex environments, large estimation errors of parameters such as signal start and end times, and carrier frequency, the present invention provides a method and system for detecting broadband wireless communication signals in complex environments , introducing the centripetal offset network in the field of deep learning natural target recognition and processing into the field of signal detection, which can realize the effective detection of broadband wireless communication signals in complex environments and improve the effect of signal detection

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