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Chinese Optics Letters

Chinese Optics Letters


  • Vol. 3, Iss. 4 — Apr. 10, 2005
  • pp: 205–207

Improving linearity of position-sensitive detector using support vector machines

Meiying Ye  »View Author Affiliations

Chinese Optics Letters, Vol. 3, Issue 4, pp. 205-207 (2005)

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An intelligent method for improving position linearity of position-sensitive detector (PSD), based on support vector machines (SVMs), is developed. The SVM is established based on the structural risk minimization principle rather than minimizing the empirical error commonly implemented in neural networks. SVM can achieve higher generalization performance. Training SVM is equivalent to solving a linearly constrained quadratic programming problem, thus the solution of SVM is always unique and globally optimal. The improving position linearity procedure has been illustrated using a two-dimensional (2D) PSD. It is pointed out that the position linearity of the measuring system with a proper SVM correction is improved by two orders of magnitude in the measurement range.

© 2005 Chinese Optics Letters

OCIS Codes
(040.5160) Detectors : Photodetectors
(130.4310) Integrated optics : Nonlinear
(130.6010) Integrated optics : Sensors

Meiying Ye, "Improving linearity of position-sensitive detector using support vector machines," Chin. Opt. Lett. 3, 205-207 (2005)

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