Research on predictive method of target characteristics based on electrostatic detection technology

摘要

The character research of electrostatic target has played an important role in the electrostatic detection. The obtained characteristic curve was judged and identified by detecting the static electric field of the moving object with high velocity in the air. This paper designs BP neural networks and linear neural networks to predict the characteristic signal of electrostatic target. Simulation results show that the BP neural networks is superior to predict the effectiveness and timeliness of the target.