Ultrashort wave special signal reconnaissance method based on spectral map and depth convolution network

Abstract

The invention belongs to the technical field of radio signal identification, in particular to an ultrashort wave specific signal detection method based on a spectrum map and a depth convolution network. The method comprises the following steps: short-time Fourier transform is carried out on the specific signal in a sample library to obtain a signal time-frequency spectrum, wherein the specific signal is a signal including a frame synchronization code in a signal transmission data frame structure; The depth convolution neural network model is trained by using time-frequency map, and the position target is predicted by using feature pyramid and feature map of different scales in the training process. The trained depth convolution neural network model is used to detect and recognize the special signals in ultrashort wave communication. The invention solves the problems of low signal-to-noise ratio and low detection and identification efficiency under the condition of strong channel interference in the prior method, realizes ultrashort wave specific signal detection, time-frequency positioning and classification identification, improves signal identification rate, has robust performance and high operation efficiency, provides ideas for subsequent related research in the field, and has strong practical application value.

Description

technical field [0001] The invention belongs to the technical field of radio signal identification, in particular to an ultrashort wave specific signal detection method based on a spectrogram and a deep convolutional network. Background technique [0002] Signal reconnaissance technology is widely used in radio reconnaissance, electronic countermeasures and software radio, etc., and the detection and identification technology of ultrashort wave specific signals is also one of the important components, which has become a research hotspot in the field of signal analysis and processing. Ultrashort wave communication refers to the communication that uses radio waves in the 30MHz to 300MHz band for information transmission. However, due to the propagation mode of ultrashort wave communication, the transmitted signals have fading, interference and aliasing, which makes the detection and identification of ultrashort wave signals a difficult problem. The specific signal refers to t...

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Problems solved by technology

However, judging from the current research results, many existing methods have poor detection and recognition effects in the case of low signal-to-noise ratio and strong channel interference, and the extracted features cannot well represent signals affected by strong channel interference.

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