删除或更新信息,请邮件至freekaoyan#163.com(#换成@)

基于混沌理论的无源互调功率预测研究

本站小编 Free考研考试/2022-01-03

白春江,
崔万照,,
李军
中国空间技术研究院西安分院空间微波技术重点实验室 西安 710100
基金项目:国家自然科学基金(U1537211)

详细信息
作者简介:白春江:男,1984年生,高级工程师,主要研究方向为空间微波特殊效应
崔万照:男,1975年生,研究员,主要研究方向为空间微波特殊效应
李军:男,1968年生,研究员,主要研究方向为大功率微波无源器件
通讯作者:崔万照 cuiwanzhao@126.com
中图分类号:TN92

计量

文章访问数:392
HTML全文浏览量:129
PDF下载量:35
被引次数:0
出版历程

收稿日期:2019-12-05
修回日期:2020-10-18
网络出版日期:2020-11-19
刊出日期:2021-01-15

Prediction of Passive Intermodulation Level Based on Chaos Method

Chunjiang BAI,
Wanzhao CUI,,
Jun LI
China Academy of Space Technology (Xi’an), National Key Laboratory of Science and Technology on Space Microwave, Xi’an 710100, China
Funds:The National Natural Science Foundation of China (U1537211)


摘要
摘要:该文以通信系统中常用的典型微波部件——同轴连接器为研究对象,基于混沌理论对获得的同轴连接器的无源互调(PIM)功率时间序列进行分析,验证了使用混沌理论预测无源互调的有效性。首先通过实验系统获得同轴连接器的3阶无源互调功率时间序列,并对得到的实验数据进行相空间重构,确定该时间序列的最佳嵌入维数m和延迟时间τ。然后,结合最佳嵌入维数和延迟时间,分别构建相图和使用小数据量法计算该时间序列的最大Lyapunov指数,从而从定性和定量角度验证了该无源互调功率时间序列具有混沌特性。在此基础上,基于获得的最大Lyapunov指数对该无源互调功率时间序列进行混沌预测,在最大可预测尺度范围内,理论预测值与实验值最大误差为2.61%,表明采用混沌方法预测无源互调功率效果较好。该文提出的使用混沌理论预测通信系统中微波部件无源互调功率的方法,为开展无源互调抑制技术研究,提高通信系统的性能提供了新思路。
关键词:无线通信/
无源互调/
混沌/
Lyapunov指数/
相空间
Abstract:Passive InterModulation (PIM) products are spurious frequency signals which occur in microwave and radio frequency communication system. And it is noticed that PIM levels have the characteristic of changing with time. In order to find out the relationship between PIM level and time, as the typical microwave component which more often causes PIM in communication system, coaxial connector is chosen and analyzed using chaotic method. Firstly, the third order PIM level time series of coaxial connector is obtained by PIM measurement system. Based on the experimental data, the phase space is reconstructed and the optimal embedding dimension m and delay time τ are confirmed. Secondly, the largest Lyapunov exponent is calculated by the method named the small data sets with embedding dimension m and delay time τ. And from the qualitative and quantitative perspective, it is verified that the passive intermodulation level time series have the characteristic of chaos. Lastly, the prediction of PIM level with chaotic method is performed on the basis of the largest Lyapunov exponent. And the maximum error between the theoretical prediction value and the experimental value is 2.61% within the maximum predictable scale, indicating that the chaotic prediction is an effective way. The method that predicts the PIM level of microwave components in the communication system discussed in this paper provides a new way of studying the PIM mitigation technique for communication system and provides a new idea for improving the performance of the communication system.
Key words:Wireless communication/
Passive InterModulation (PIM)/
Chaos/
Lyapunov exponent/
Phase space



PDF全文下载地址:

https://jeit.ac.cn/article/exportPdf?id=f7ba5b9f-3047-417c-9807-18b621395b0d
相关话题/空间 微波 序列 实验 数据