CORRECTION OF SIGNAL DISTORTION CAUSED BY SENSOR’S DYNAMIC CHARACTERISTIC
Zhijie Zhang, Yanfeng Li
Abstract:
The main cause of dynamic errors is due to limitation of sensor’s working frequency bandwidth. One way of solving this problem is designing an effective inverse filter. The method based on Particle Swarm Optimization (PSO) integrated with Functional Link Artificial Neural Network (FLANN) for correcting dynamic characteristics of sensor is presented to reduce sensor’s dynamic error caused by its systems limitation. The feasibility of dynamic compensation method is tested, Simulation results from simulator of sensor show that the results after being compensated has given a good description to input signal.
Keywords:
Particle Swarm Optimization (PSO), Functional Link Artificial Neural Network (FLANN), dynamic error, dynamic compensation
Download:
IMEKO-WC-2015-TC7-207.pdf
DOI:
-
Event details
Event name:
XXI IMEKO World Congress
Title:

Measurement in Research and Industry

Place:
Prague, CZECH REPUBLIC
Time:
30 August 2015 - 04 September 2015
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