Electromagnetic Data Prediction and Analysis Method Based on Wavelet-HFCM Algorithm

The electromagnetic environment of surface ships, aircraft and other fields is getting worse, especially the strong electromagnetic environment will affect the normal work of related fields seriously, and even cause irreversible damage. However, strong electromagnetic pulse is the main cause. The common pulse includes ultra and electromagnetic pulse, high-power microwave electromagnetic pulse and lightning electromagnetic pulse. The above three electromagnetic pulses cause interference or damage to the relevant systems or equipment of the ship through the front door coupling and the rear door coupling. In order to study the influence of these three kinds of electromagnetic pulses in the field of ships, this method belongs to the technology in the data analysis and machine learning. Combining the basic principles and methods of signal processing and transformation, after appropriate improvement, combined with certain modern technologies, electromagnetic data prediction and analysis method based on Wavelet-HFCM algorithm are carried out to mine the influence of electromagnetic data on antennas in the strong electromagnetic environment.