Paper Title:
Microwave Power Real-Time Soft-Measuring Based on Improved BP Neural Network
  Abstract

There are many faults in microwave power measurement in the working spots. In this paper, the novel technique of microwave power measurement and Schottky detector and the technique of soft-measuring based on improved BP neural network are presented. Making use of directional coupler, the part of power of microwave signal in transmission line was taken in the certain proportion. Then, the microwave power meter indicated the magnitude of power. The microwave power measurement system was composed of tuneable attenuator, directional coupler, matching load, peak-peak value detector, oscillograph, thermocouple, soft-measuring algorithm and so on. The low microwave power meter obtained the sample data of training BP neuron network. Then, the output of trained BP neural network may represent the result of high microwave power measurement. The experiments and applications in practice project prove that this new method has many advantages.

  Info
Periodical
Advanced Materials Research (Volumes 301-303)
Chapter
Chapter 2: Measuring and Testing Techniques
Edited by
Riza Esa and Yanwen Wu
Pages
902-907
DOI
10.4028/www.scientific.net/AMR.301-303.902
Citation
L. Lei, Z. X. Ouyang, "Microwave Power Real-Time Soft-Measuring Based on Improved BP Neural Network", Advanced Materials Research, Vols. 301-303, pp. 902-907, 2011
Online since
July 2011
Export
Price
$32.00
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