检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:王桂胜[1] 黄国策[1] 王叶群[1] 董淑福[1] 任清华[1] 魏帅 WANG Guisheng;HUANG Guoce;WANG Yequn;DONG Shufu;REN Qinghua;WEI Shuai(College of Information and Navigation, Air Force Engineering University, Xi’an 710077, China;Unit 95910 of the PLA, Jiuquan 735000, China)
机构地区:[1]空军工程大学信息与导航学院,陕西西安710077 [2]中国人民解放军95910部队,甘肃酒泉735000
出 处:《系统工程与电子技术》2021年第1期223-231,共9页Systems Engineering and Electronics
基 金:航天信息应用技术重点实验室高校合作(KX16260022)资助课题。
摘 要:为满足未来无人系统通信智能抗干扰的实际需要,针对传统变换域通信系统(transform domain communication system,TDCS)自身开放性有限、干扰应对能力不足等问题,设计了基于认知引擎驱动的智能系统架构,并针对各认知引擎驱动子模块提出了3种改进方法,包括基于稀疏逼近的未知干扰处理、基于稀疏表示的变换学习干扰识别以及针对性的干扰变换稀疏分析方法。实验结果表明,识别子模块与传统的分类器相比,整体的干扰识别率提高了5.2%,并且可实现无监督的学习;同时,针对典型干扰的重构精度在90%以上,实现了不同干扰类型的最优变换处理,显著提高了系统的抗干扰性能,传输误码率逼近理想水平。In order to satisfy the actual requirements of intelligent anti-interference for unmanned aerial systems communication in the future,an intelligent system driven based on cognitive engine is designed to solve the limited openness and insufficient ability for traditional transform domain communication system(TDCS).Furthermore,three improving methods are proposed for cognitive engine-driven modules,including unknown interference approximation based on sparse approximation,transform learning interference classification based on sparse representation and target sparse analysis method for interference transformation.Simulation results show that,compared with the traditional classifier,the overall classification of interference in the classification module is increased by 5.2%,and it can be realized in an unsupervised learning.Meanwhile,the accuracy of traditional interference reconstruction is above 90%,and the optimal transformation analysis for different interference is achieved,which significantly improves the anti-interference performance of the system and makes the bit error rate of transmission close to the ideal level.
关 键 词:无人系统 变换域通信 智能抗干扰 压缩感知 稀疏逼近 稀疏表示
分 类 号:TN92[电子电信—通信与信息系统]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.15.238.90