Analysis of Fast and Intelligent Detection Technology for Complex Electromagnetic Signals
This paper describes the rapid and intelligent detection technology of signals in complex electromagnetic environments.It analyzes the automation design of the detection process and the target signal detection technology based on sparse autoencoder neural network,automatically extracts deep features of the signal,learns the hidden structural rules of noise,and provides a complex nonlinear mapping relationship between the noisy signal and the original signal.It effectively reduces noise while maintaining the target electromagnetic signal.