异步串行通信接口位置特征自动匹配优化方法  

Automatic matching and optimization method of position characteristics of asynchronous serial communication interface

作　　者：姚莉 顾煜新[2] YAO Li;GU Yu-xin(School of Computing,Hubei Polytechnic University Hubei Huangshi 435003,China;Information Spread Engineering Institute,Changchun University of Technology Jilin Changchun 130012 China)

机构地区：[1]湖北理工学院计算机学院,湖北黄石435003 [2]长春工业大学信息传播工程学院,吉林长春130012

出　　处：《计算机仿真》2022年第3期215-219,共5页Computer Simulation

基　　金：湖北省教育厅科学研究计划指导性项目(B2018251);湖北理工学院教学改革项目(2020C02)。

摘　　要：当前的通信接口特征匹配过程忽略了对各接口时间匹配序列的建立,无法获取特征提取的自变量,导致传统方法的通信接口处理器特征匹配效率偏低。为此,提出基于异步串行通信接口处理器的匹配优化方法。通分析通信接口的特征变量分布,建立基于各接口下时间匹配序列,计算对应模糊指数,得出特征提取自变量。基于此,通过异步串行矩阵分辨跟随自变量而变化的因变量特征点,利用快速最近邻搜索方法寻找所有邻近特征点,判定所有点位置及分布方向,计算水平及垂直方向的梯度,根据直方图对位置方向表达一致的特征点实现一一配对,至此,完成特征匹配优化。仿真实验证明,所提方法不仅匹配效率较优,且针对大规模的数据特征集也具有较好的稳定性。The current communication interface feature matching process ignores the establishment of each interface time matching sequence,and can not obtain the independent variables of feature extraction,resulting in the low feature matching efficiency of the traditional communication interface processor.Therefore,a matching optimization method based on asynchronous serial communication interface processor is proposed.Firstly,the characteristic variable distribution of the communication interface was investigated.Based on the time matching sequence under each interface,the corresponding fuzzy index was built to obtain the characteristic extraction independent variables.Secondly,the dependent variable feature points varying with the independent variable were distinguished through the asynchronous serial matrix,and the fast nearest neighbor search method was introduced to find all adjacent feature points,thus determining the position and distribution direction of all points.Then,the gradients in the horizontal and vertical directions were calculated,and the consistent feature points were expressed in the position direction according to the histogram.Then,one-to-one pairing was achieved.Eventually,the optimization of feature matching was realized.The simulation results show that this method has high matching efficiency and excellent stability.

关 键 词：异步串行 时间匹配序列 模糊指数 最近邻搜索方法 位置梯度 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]