Application of Software Defined Radio Technology for Low-cost Characterization of Frequency-Selective Surfaces

被引：0

作者：

Lemos, Diego N. ^{[1
]}

Oliveira, Luiz F. P. ^{[1
]}

Villalva, Marcelo G. ^{[1
]}

机构：

[1] State Univ Campinas Unicamp, Campinas, Brazil

来源：

2023 IEEE MTT-S LATIN AMERICA MICROWAVE CONFERENCE, LAMC | 2023年

关键词：

Software defined radio; FSS characterization; surface transmission measurement; low-cost RF instrumentation;

D O I：

10.1109/LAMC59011.2023.10375601

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：

Frequency-Selective Surfaces (FSSs) are a promising tool for dealing with electromagnetic compatibility challenges in smart cities. While FSS prototypes demand a small investment, their characterization usually involves expensive radio frequency generators and analyzers. Here, we propose an FSS characterization setup based on Soft Defined Radio (SDR) technology as a low-cost alternative. To experimentally validate the proposed configuration, we employed it to characterize an example FSS in the 2.4 GHz band, comparing the results with those obtained using a signal generator and a spectrum analyzer. The setups provided a comparable performance, with maximum and mean squared transmission differences below 2 dB and 0.5 dB, respectively. Although slower and less sensitive, the SDR setup is portable and almost 50 times cheaper.

引用

页码：74 / 77

页数：4

共 16 条

[1] Measurement of a metamaterial antenna angular power reception performance utilizing Software Defined Radio [J].