Modulation Recognition Method of Complex Modulation Signal Based on Convolution Neural Network
Rui Liu, Guo Yunxin, Shibing Zhu
Abstract
With the emergence and further integration of computer technology, software radio technology and network information technology, signal analysis and processing are inseparable from the critical moment of modulation recognition. For the mixed data of the modulation signal and the secondary modulation signal, this paper simulates the modulation recognition by combining convolutional neural networks with different architectures and signal cyclic spectrum images under the Pytorch framework through image enhancement. This paper also expands the identification of the modulation mode of the secondary modulation signal and provides the improvement direction of the modulation signal data set.
Topics & Concepts
Modulation (music)Computer scienceAnalog transmissionSIGNAL (programming language)Delta modulationConvolutional neural networkPulse-amplitude modulationSignal processingArtificial neural networkElectronic engineeringPattern recognition (psychology)Artificial intelligenceAnalog signalDigital signal processingTelecommunicationsEngineeringPhysicsComputer hardwareProgramming languageAcousticsDetectorPulse (music)Wireless Signal Modulation ClassificationRadar Systems and Signal Processing