摘要
近年来,数据的需求量大大的增加,如何能在有限的频谱下传送更多的数据,提高频谱的利用率问题成为人们关注的焦点,无线认知Mesh网络的出现及发展正是符合了这一要求。文中对无线感知技术中PCA算法进行了详细的研究,并结合MATLAB对PCA算法进行了实际的仿真,最终得出了利用PCA算法的降维技术能有效解决数据量大带来的计算、处理、分类等难题,是提高无线认知Mesh网络性能的一个有力措施。
In recent years,the demand for data has increased dramatically.How to transmit more data under limited spec⁃trum and improve the utilization of spectrum has become the focus of attention,The emergence and development of wireless cognitive Mesh network meets this requirement.In this paper,PCA algorithm in wireless sensing technology is studied in de⁃tail and the PCA algorithm is simulated with MATLAB,Finally,it is concluded that the dimension reduction technology based on PCA algorithm can effectively solve the problems of computation,processing and classification caused by large amount of data,It is a powerful measure to improve the performance of wireless cognitive Mesh network.
作者
马晓鑫
辛向青
展先彪
刘佳琪
Ma Xiaoxin;Xin Xiangqing;Zhan Xianbiao;Liu Jiaqi(School of Electronic and Control Engineering,North China Institute of Aerospace Engineering;School of Mechanical and Electrical Engineering,North China Institute of Aerospace Engineering,Langfang 065000,China)
出处
《北华航天工业学院学报》
CAS
2020年第2期5-7,共3页
Journal of North China Institute of Aerospace Engineering
基金
北华航天工业学院青年基金项目(KY-2017-08)
关键词
无线感知
降维技术
PCA算法
MATLAB仿真
wireless sensing
dimension reduction technology
PCA algorithm
MATLAB simulation
