A new method of data processing of division-of-amplitude polarization navigation angle sensor

Yansheng Dai, Leilei Li, Jiabin Chen, Xusheng Zhang, Zhongyu Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Due to elements production defect, installation error, etc., the accuracy of the division-of amplitude is greatly restricted. In this paper, the principle of division-of-amplitude measuring polarized light and the POL-neural model are analyzed, putting forward utilizing Radical Basis Function (RBF) neural network instead of instrument matrix to process data. This method has more complex mapping relationship between input vector and output vector, which can reduce the influence of system error. And its accuracy is greatly better than other methods. Its difference between actual Stokes parameters and ideal stokes parameters is 10-3 level, and its maximum difference between actual angle and ideal angle is 0.08651°.

Original languageEnglish
Title of host publicationProceedings of the 29th Chinese Control and Decision Conference, CCDC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6578-6583
Number of pages6
ISBN (Electronic)9781509046560
DOIs
Publication statusPublished - 12 Jul 2017
Event29th Chinese Control and Decision Conference, CCDC 2017 - Chongqing, China
Duration: 28 May 201730 May 2017

Publication series

NameProceedings of the 29th Chinese Control and Decision Conference, CCDC 2017

Conference

Conference29th Chinese Control and Decision Conference, CCDC 2017
Country/TerritoryChina
CityChongqing
Period28/05/1730/05/17

Keywords

  • Division-of-amplitude
  • Navigation
  • Polarization
  • RBF

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