摘要
在数据采集过程中,噪声和干扰的存在严重影响了数据的准确性。为了获得质量较高的数据,减少噪声的影响,该文提出一种基于遗传算法的小波阈值函数去噪方法,并设计以FPGA为主控的数据采集系统进行了多次实验。实验结果表明,经改进算法处理过的数据信噪比达到了芯片手册中所规定的典型值大小。同时,相比传统的阈值函数去噪方法,将新算法应用于采集到的数据,其信噪比提高了7.0248 dB,均方根误差降低了0.1675,表现出了较好的去噪性能,具有较高的工程应用价值。
During the data acquisition process,the presence of noise and interference significantly affects the accuracy of the data.To enhance the data quality and minimize the impact of noise on the analysis results,this study proposes a genetic algorithm-based wavelet threshold function denoising method and designs a data acquisition system controlled by FPGA for multiple experimental tests.The experimental results show that the data processed by the improved algorithm achieved the typical value of signal-to-noise ratio as specified in the chip manual.In comparison to traditional threshold-based denoising methods,applying the new algorithm to the collected data has improved the signal-to-noise ratio by 7.0248 dB and reduced the root mean square error by 0.1675.This demonstrates excellent denoising performance,making it highly valuable for engineering applications.
作者
刘玉玉
李杰
马喜宏
孙宁
王涛
高屾林
LIU Yuyu;LI Jie;MA Xihong;SUN Ning;WANG Tao;GAO Shenlin(Key Laboratory of National Defense Science and Technology of Electronic Testing Technology,North University of China,Taiyuan 030051,China;Key Laboratory of Instrument Science and Dynamic Testing,Ministry of Education,North University of China,Taiyuan 030051,China;Beijing Institute of Remote Sensing Equipment,Beijing 100080,China;Huaihai Industrial Group Co.,Ltd.,Changzhi 046000,China)
出处
《电子设计工程》
2024年第19期124-128,134,共6页
Electronic Design Engineering
基金
国家自然科学基金(61973280)。
关键词
数据采集系统
小波阈值去噪
遗传算法
信噪比
data acquisition system
wavelet thresholding denoising
genetic algorithm
Signal-to-Noise Ratio(SNR)
作者简介
刘玉玉(1997-),女,山西太原人,硕士研究生。研究方向:微惯性测量、组合导航与复杂恶劣环境下的动态测试集成;通信作者:李杰,2606381298@qq.com。
