摘要
为提升信号识别电路的电量采集精度,实现理想状态下的电力误差校准,设计基于神经网络的模数转换电路动态误差源识别系统。以CNN神经网络作为模数转换电路的物理依赖环境,通过合理选取动态识别元件的方式,实现误差源识别系统的硬件运行环境搭建。在此基础上,将模拟电流转化成数字信号,再将其完整存储于系统数据库中,利用既定数学运算公式对已存储的数字信号进行识别精度提纯处理,实现误差源识别系统的软件运行环境搭建,联合相关硬件执行设备,完成基于神经网络的模数转换电路动态误差源识别系统设计。实际应用结果表明,在加压环境下,新型误差源识别系统的电量采集精度达到90%,单位时间内的信号识别量超过7.5×10^9TB,理想状态下信号识别电路的电力误差校准能力得到有效保障。
In order to improve the acquisition accuracy of signal recognition circuit and realize the power error calibration in ideal state,a neural network based dynamic error source identification system of analog-to-digital conversion circuit is designed.The hardware operation link of the error source identification system is constructed by reasonably selecting the dynamic identification elements and taking CNN neural network as the physical dependent environment of the analog-to-digital converter circuit.On this basis,the analog current is converted into digital signals,and then they are stored completely in the system database.The purifying processing for the stored digital signal is conducted to make identification precision improved by means of the established mathematical formula.The software running link construction of the error source recognition system is realized.The neural network based dynamic error source recognition system for the analog-to-digital conversion circuit is completed by combining the relevant hardware equipments.The practical application results show that,in the pressurized environment,the power acquisition accuracy of the new error source identification system reaches 90%,the signal recognition quantity per unit time exceeds 7.5×10^9 TB,and the power error calibration ability of the signal recognition circuit under ideal conditions is effectively guaranteed.
作者
张晋博
丁传红
ZHANG Jinbo;DING Chuanhong(Beijing Institute of Computer Technology and Applications,Beijing 100854,China)
出处
《现代电子技术》
北大核心
2019年第21期53-57,共5页
Modern Electronics Technique
关键词
神经网络
模数转换
电路误差源
动态识别
数字信号存储
系统设计
neural network
analog to digital conversion
circuit error source
dynamic identification
digital signal
System design
作者简介
张晋博(1993—),男,天津人,研究生在读,研究方向为计算机测量与控制;丁传红(1973—),男,湖南醴陵人,研究员,研究方向为嵌入式计算机、数字信号处理、惯性导航。
