An easy-implemented confidence filter for signal processing in the complex electromagnetic environment

With the fast development of microgrids in more electric aircrafts and ships, the higher reliability of signal acquisition and processing systems are required in the complex electromagnetic environment. This paper presents a novel easy-implemented nonlinear confidence filter to record data accurately and reliably extract in the case of the complex electromagnetic environment, which can retains the convictive signal characteristics, and eliminates the noises. The arithmetic of the signal confidence takes consideration of the influence of the amplitude deviation and time deviation, which is implemented with synthesize two evaluated indexes based on fuzzy control strategy. The experimental results show that, the reliability and timeliness of the signal can be guaranteed in the complex electromagnetic environment.