Title :
Research on digital filtering of the gap sensor
Author :
Fan, Shujiang ; Wu, Jun ; Chang, Wensen
Author_Institution :
Res. Center of Maglev Technol. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
The characteristics of noise were analyzed for the gap sensor in maglev train. A combination of FIR filter and predictive algorithm was designed for efficient noise reduction. Compared with the other window functions, Kaiser function was chosen for the FIR filter. This allows trade-off between transition bandwidth and stop-band attenuation by changing the shape parameter β. A new predictive algorithm was deduced and adopted against strong impulsive noise, which decreases time delay from median filter. These methods were validated by simulation and experiment respectively. S/N ratio of the gap sensor is increased effectively.
Keywords :
FIR filters; interference suppression; magnetic levitation; median filters; railways; sensors; FIR filter; Kaiser function; S/N ratio; gap sensor digital filtering; maglev train; median filter; noise reduction; predictive algorithm; shape parameter β; stop-band attenuation; time delay; Algorithm design and analysis; Bandwidth; Digital filters; Filtering; Finite impulse response filter; Magnetic levitation; Noise reduction; Noise shaping; Prediction algorithms; Sensor phenomena and characterization;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1343311
