中国激光, 2019, 46 (3): 0309001, 网络出版: 2019-05-09   

燃烧流场羟基示踪测速的噪声去除方法 下载: 953次

Background Noise Suppress Method for Hydroxyl Tagging Velocimetry in Combustion Flow Field
作者单位
1 西安交通大学能源与动力学院, 陕西 西安 710049
2 西北核技术研究所激光与物质相互作用国家重点实验室, 陕西 西安 710024
摘要
为了保证燃烧流场羟基(OH)示踪速度测量的精度,开展了背景噪声去除方法研究。基于燃烧流场羟基示踪测速数据的噪声特性分析,构建了染噪的数值模型;针对局部的燃烧OH荧光干扰以及流场杂散光等背景噪声,采用了基于Hough变换的空间滤波方法。针对测量系统的物理、电、光以及传感器等噪声,采用了小波变换的噪声去除方法,提高了图像信噪比。提出了一种将两种方法融合的背景去除方法, 抑制了系统噪声对空间滤波算法精度的影响,优化了空间滤波结果。研究结果表明,图像处理后峰值信噪比提高了16.79 dB,信噪比提高了13.91 dB。对燃烧流场实验数据进行了处理,有效地抑制了背景噪声,达到了图像预处理的效果,满足了激光诊断系统对测量精度的要求。
Abstract
In order to guarantee the precision of hydroxyl (OH) tagging velocimetry measurement in combustion flow field, we investigate a background noise removal method. Based on the analysis of noise characteristics of hydroxyl tagging velocimetry experimental data in combustion flow fields, we construct a numerical model of noise attenuation. For the background noise such as local combustion OH fluorescence interference and flow stray light, we adopt a spatial filtering method based on Hough transform. As for the physical, electrical, optical and sensor noises of the measurement system, we present a noise removal method of wavelet transform to improve signal-to-noise ratio. The background noise suppression method combining spatial filtering and wavelet transform is proposed to suppress system noise effect on the spatial filtering algorithm precision, and optimize the spatial filtering results. The research results show that the peak signal-to-noise ratio is improved by 16.79 dB, and signal-to-noise ratio is improved by 13.91 dB after imaging processing. The experimental data of combustion flow field are processed, which effectively suppresses background noise, achieves the effect of image preprocessing, and meets the requirement of measurement accuracy of laser diagnostic system for measurement accuracy.

邵珺, 叶景峰, 王晟, 胡志云, 方波浪, 张振荣, 李景银. 燃烧流场羟基示踪测速的噪声去除方法[J]. 中国激光, 2019, 46(3): 0309001. Jun Shao, Jingfeng Ye, Sheng Wang, Zhiyun Hu, Bolang Fang, Zhenrong Zhang, Jingyin Li. Background Noise Suppress Method for Hydroxyl Tagging Velocimetry in Combustion Flow Field[J]. Chinese Journal of Lasers, 2019, 46(3): 0309001.

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