一种自适应维纳滤波器在γ能谱降噪中的应用

辐射防护 ›› 2024, Vol. 44 ›› Issue (1): 50-56.

一种自适应维纳滤波器在γ能谱降噪中的应用

张嘉伟, 聂亚杰, 祁自建, 赵宴辉

中国船舶集团有限公司第七一八研究所,河北邯郸 056027

收稿日期:2023-02-16 出版日期:2024-01-20 发布日期:2024-02-05
作者简介:张嘉伟(1997—),男,2020年毕业于河北工业大学自动化专业,现为中国船舶集团有限公司第七一八研究所在读硕士研究生。E-mail:zhangjw718@163.com

Application of an adaptive Wiener filter in noise reduction for gamma energy spectrum

ZHANG Jiawei, NIE Yajie, QI Zijian, ZHAO Yanhui

The 718^thResearch Institute of China State Shipbuilding Corporation Limited, Hebei Handan 056027

Received:2023-02-16 Online:2024-01-20 Published:2024-02-05

摘要/Abstract

摘要： 面向便携式γ能谱探测仪开发了一种基于自适应维纳滤波器的降噪算法,相较于五点三阶滤波和重心法为代表的传统γ能谱降噪算法,该算法采用局部估计的方差值作为局部细节的度量方式实现了降噪算法的自适应调节。经仿真信号与实测数据验证,基于自适应维纳滤波器的降噪算法相较于五点三阶滤波和重心法,在保留γ能谱特征信息的前提下具有运行速度快、降噪效果好且不失真的优势,在便携式γ能谱探测仪的能谱降噪处理中具有一定的应用潜力。

关键词: 自适应维纳滤波, 降噪, 谱光滑, 核素识别, γ能谱分析

Abstract: A noise reduction algorithm based on the adaptive Wiener filter for portable gamma spectrum detectors was developed. Compared with traditional gamma spectrum noise reduction algorithm represented by the five-point third-order filtering and the centerofgravity method,the estimated variance value is used as a measure of local details to implement adaptive adjustment of the noise reduction algorithm. Verified by simulated signals and measured data, the noise reduction algorithm based on the adaptive Wiener filter has faster running speed and better noise reduction effect than the five-point third-order filtering and the center-of-gravity method while retaining the gamma energy spectrum characteristic information. With the advantage of no distortion, it has certain application potential in the energy spectrum noise reduction processing of portable gamma energy spectrum detectors.

Key words: adaptive Wiener filtering, noise reduction, spectrum smoothing, nuclide identification, γ spectrum analysis

中图分类号:

TL817

张嘉伟, 聂亚杰, 祁自建, 赵宴辉. 一种自适应维纳滤波器在γ能谱降噪中的应用[J]. 辐射防护, 2024, 44(1): 50-56.

ZHANG Jiawei, NIE Yajie, QI Zijian, ZHAO Yanhui. Application of an adaptive Wiener filter in noise reduction for gamma energy spectrum[J]. RADIATION PROTECTION, 2024, 44(1): 50-56.

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