Laser tuning parameters and concentration retrieval technique for wavelength modulation spectroscopy based on the variable-radius search artificial bee colony algorithm

TL;DR

This paper introduces a novel VRS-ABC algorithm for wavelength modulation spectroscopy that improves gas concentration retrieval accuracy and speed by mimicking bee foraging behavior and overcoming premature convergence issues.

Contribution

The paper presents a new VRS-ABC algorithm for laser tuning and concentration retrieval that reduces dependence on pre-characterized laser parameters compared to traditional methods.

Findings

VRS-ABC algorithm outperforms Levenberg-Marquardt in convergence speed

Enhanced accuracy in multi-parameter gas models

Improved reliability in calibration-free WMS systems

Abstract

A novel wavelength modulation spectroscopy (WMS) laser tuning parameters and concentration retrieval technique based on the variable-radius-search artificial bee colony(VRS-ABC) algorithm is proposed. The technique imitates the foraging behavior of bees to achieve the retrieval of gas concentration and laser tuning parameters in a calibration-free WMS system. To address the problem that the basic artificial bee colony(ABC) algorithm tends to converge prematurely, we improve the search method of the scout bee. In contrast to prior concentration retrieval methods that utilized the Levenberg-Marquardt algorithm, the current technique exhibits a reduced dependence on the pre-characterization of laser parameters, leading to heightened precision and reliability in concentration retrieval. We validated the simulation with the VRS-ABC-based technique and the LM-based technique for the target gas C2H2. The simulation results show that the VRS-ABC-based technique performs better in terms of convergence speed and fitting accuracy, especially in the multi-parameter model without exact characterization.