Abstract
In the process of wireless image transmission, there are a large number of interference signals, but the traditional interference signal recognition system is limited by various modulation modes, it is difficult to accurately identify the target signal, and the reliability of the system needs to be further improved. In order to solve this problem, a wireless image transmission interference signal recognition system based on deep learning is designed in this paper. In the hardware part, STM32F107VT and SI4463 are used to form a wireless controller to control the execution of each instruction. In the software part, aiming at the time‐domain characteristics of the interference signal, the feature vector of the interference signal is extracted. With the support of GAP‐CNN model, the interference signal is recognized through the training and learning of feature vector. The experimental results show that the packet loss rate of the designed system is less than 0.5%, the recognition performance is good, and the reliability of the system is improved.
Highlights
The emergence of wireless image transmission technology makes it convenient, fast, accurate, and real time for people in need to obtain remote image information, which provides convenience for special industry applications [1]
Many of them use GPRS/CDMA (General Packet Radio Service and Code Division Multiple Access) technology to achieve wireless image acquisition and transmission system, which uses the cellular network transmission mode, so the transmission signal must rely on the base station
In order to solve the above problems and improve the effect of target signal recognition, a wireless image transmission interference signal system based on deep learning is proposed in this paper
Summary
The emergence of wireless image transmission technology makes it convenient, fast, accurate, and real time for people in need to obtain remote image information, which provides convenience for special industry applications [1]. In order to solve the above problems and improve the effect of target signal recognition, a wireless image transmission interference signal system based on deep learning is proposed in this paper. 3. Software Design of Wireless Image Transmission Interference Signal Recognition System Based on Deep Learning
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