Antenna Far-Field Measurement Exploiting Compressed Sensing

被引：1
|
作者：
Wang, Tianting [1 ]
Zhang, Liang [1 ,2 ]
Wang, Fei [1 ]
Liu, Yang [1 ]
Wu, Xianliang [1 ]
机构：
[1] Anhui Univ, Minist Educ, Key Lab Intelligent Comp & Signal Proc, Hefei 230601, Anhui, Peoples R China
[2] Hefei Normal Univ, AnHui Prov Key Lab Simulat & Design Elect Informa, Hefei 230601, Anhui, Peoples R China
来源：
2019 IEEE MTT-S INTERNATIONAL WIRELESS SYMPOSIUM (IWS 2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
Compressed Sensing; random-modulation pre-integrator (RMPI); far-filed Measurements;
D O I：
10.1109/ieee-iws.2019.8803949
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A main difficulty of far-field( FF) measurement techniques is the long measurement time and the cumbersome testing process, which is a strong limiting factor in many measurements. To solve this problem, in this study, we proposed a technique for accelerating antenna measurement, which is achieved by the sparse test results in the FF measurement system. Compressed Sensing (CS) can effectively reduce measurement point information and recover information with high probability. In this article, we will summarize and discuss the random-modulation pre-integrator (RMPI) architecture based on the CS sampling strategy, the requirements and challenges in this issue. These results are provided to show the potential of the method.
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页数：3
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