A Modified User Identification Signal Recognition Algorithm for Power Wireless Private Network

Power wireless private network has the advantages of high spectrum efficiency, large data throughput and good system stability. However, in practical applications, it may cause large interference to 230 digital transmission stations, which affects the normal operation of the system. Spectrum-sensing technology can be used to capture 230 digital radio signals in the spectrum, so that both systems can work steadily on the same spectrum resources. When it is found that both use the same frequency point at the same time, it is avoided in time to ensure the stable operation of the system. The current communication signal modulation types tend to be diversified and complicated and the signals are more and more dense. Therefore, the perception function of the user is not only to realize the perception of the spectrum signal but also to accurately identify the type of the modulation signal. In view of this, after the cognitive system perceives the presence of authorized user signals in the licensed spectrum, the algorithm proposes a modulation signal recognition technology based on BP neural network, which helps the cognitive radio network of the power wireless private network to better perceive the spectrum environment. Identifying the type of modulation in the spectrum to determine the type of service for the authorized user, thereby facilitating better dynamic use of the spectrum.