The Application of Hybrid Algorithm Integrating PWM and LMS in Spectrophotometer Instrument Analysis and Anti-Interference Method

Authors

  • Ying Liu College of Life and Health, Wuhan Vocational College of Software and Engineering, Wuhan 430205, China

Abstract

At present, with the rapid development of medical and health undertakings in China, the quality of the results measured by spectrophotometer is improving although the traditional spectrophotometer measurement process is easily disturbed by the stray light noise in the external environment. Therefore, in this study, the LMS (least mean square) adaptive filter is used as the noise filtering device, and PWM (pulse width modulation) is used to collect the original optical signal, and an improved stray light noise filtering algorithm of spectrophotometer is constructed. The test data shows that the average output amplitude of high-level signals after the denoising processing of L-P algorithm, OLS algorithm and LMS algorithm is 1.996. The relative errors of the three algorithms are 0.17%, 1.86% and 0.92% respectively. The L-P algorithm, OLS algorithm, and LMS algorithm denoised the
average output amplitude of the low-level signal at 0.000, 0.002, and -0.001, respectively, and the relative errors of the three are 11.41%, 16.95%, and 13.88%, respectively. It shows that the proposed stray light denoising algorithm can extract the stray light in the spectrophotometer to a greater extent than the traditional denoising algorithm, and output a purer useful signal, making it very applicable in fields such as accounting and protein quantification.

Keywords: LMS; PWM; spectrophotometer; stray light noise

Cite As

Y. Liu, "The Application of Hybrid Algorithm Integrating PWM and LMS in Spectrophotometer
Instrument Analysis and Anti-Interference Method", Engineering Intelligent Systems, vol. 32 no. 2,
pp. 185-194, 2024.


 

 

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Published

2024-03-01

Issue

Vol. 32 No. 2 (2024): International Journal of Engineering Intelligent Systems

Section

Article

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