基于傅里叶分析的采摘机器人通信系统优化  

Communication System Optimization of Picking Robot Based on Fourier Analysis

作　　者：王翰钊 Wang Hanzhao(Henan Surveying and Mapping Vocational College,Zhengzhou 450000,China)

机构地区：[1]河南测绘职业学院,郑州450000

出　　处：《农机化研究》2021年第9期229-232,共4页Journal of Agricultural Mechanization Research

基　　金：河南科技厅科技攻关项目(9412018Y)。

摘　　要：为提高采摘机器人使用过程中通信系统的时效性,提高通信能力,提出一种采用傅里叶变换对含有噪音的线性调频信号进行滤波处理的方法。将含有噪音的通信波信号进行分数阶傅里叶变换,形成二维的时域内频谱信号,含有噪音的线性调频信号不同阶傅里叶变换域内会出现不同的能量聚集特性,在二维时域频谱平面内进行峰值搜索,得到最优阶傅里叶变换信号,设计出滤波器,在峰值两侧进行信号隔离,设置带宽得到有用信号。对搜索到的信号进行反变换,变换阶次与傅里叶变换阶次相同,从而得到不含噪音的通信信号。仿真验证结果表明:通过傅里叶变换能够有效优化线性调频信号在时域和频域范围内的噪音信号。In order to improve the timeliness and communication ability of the communication system during the use of the picking robot,a method of filtering the linear FM signal with noise using Fourier transform is proposed in this paper.The fractional Fourier transform(FRFT)is used to form two-dimensional time-domain spectrum signal.Different energy aggregation characteristics will appear in different order Fourier transform domain of LFM signal with noise.Peak search is carried out in two-dimensional time-domain spectrum plane to obtain the optimal order Fourier transform signal.The filter is designed to carry out signal on both sides of the peak value.Number isolation,set bandwidth to get useful signals.The searched signal is inversely transformed,and the order of transformation is the same as that of Fourier transform,so that the communication signal without noise can be obtained.The simulation results show that the noise signal of LFM signal in time domain and frequency domain can be effectively optimized by Fourier transform.

关 键 词：采摘机器人 傅里叶变换 线性调频信号 滤波 

分 类 号：S225[农业科学—农业机械化工程] TP242[农业科学—农业工程]