Title :
Optimal filtering of nonstationary processes using smart sensors with adaptively controlled parameters
Author :
Platonov, AA ; Jedrzejewski, K.
Author_Institution :
Inst. of Electron. Fundamentals, Warsaw Univ. of Technol., Poland
Abstract :
This paper presents a new approach for designing measurement systems using smart adaptively adjusted sensors, which are intended for accurate wide-range measurements of random physical processes in the presence of noise with nonstationary mean value. It is shown that these systems enable us to estimate measurands much more quickly and accurately than conventional ones. Results of simulations confirm the theoretical analysis
Keywords :
adaptive control; digital simulation; filtering theory; intelligent sensors; optimal control; parameter estimation; signal processing; simulation; adaptively adjusted sensors; adaptively controlled parameters; nonstationary processes; simulations; smart sensors; wide-range measurements; Adaptive filters; Adaptive systems; Current measurement; Electromagnetic measurements; Filtering; Intelligent sensors; Noise measurement; Optimal control; Sensor phenomena and characterization; Sensor systems;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1996. IMTC-96. Conference Proceedings. Quality Measurements: The Indispensable Bridge between Theory and Reality., IEEE
Conference_Location :
Brussels
Print_ISBN :
0-7803-3312-8
DOI :
10.1109/IMTC.1996.507429
