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

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IMEKO-WC-2015-TC7-207.pdf

DOI

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IMEKO TC

TC7 - Measurement Science

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