A Parasitic Element Technique for Deep Null Synthesis and the Application to Received Signal Strength (RSS)-Based Localization

Jo Tamura, Hiroyuki Arai

研究成果: 書籍の章/レポート/Proceedings会議への寄与査読

抄録

This paper presents an antenna system that uses received signal strength (RSS) for localization. The proposed system has the benefits of small size, low cost, precise estimation, and low power consumption, which is suitable for the Internet of Things (IoT) applications. It estimates angle-of-arrival (AoA) using an antenna radiation null. A parasitic element technique is applied to steer a deep null without attenuators. The technical challenge to build the system is that amplitude errors in the feeding circuit degrade the null-steering performance. The impact of the errors on the AoA estimation is investigated, and the specific criteria are clarified. The simulation results reveal that a properly designed antenna and phase shifter can reduce the error by up to 15 degrees. Consequently, the system can localize a target with an error of less than four degrees in a range of 120 degrees.

本文言語英語
ホスト出版物のタイトル18th European Conference on Antennas and Propagation, EuCAP 2024
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9788831299091
DOI
出版ステータス出版済み - 2024
外部発表はい
イベント18th European Conference on Antennas and Propagation, EuCAP 2024 - Glasgow, 英国
継続期間: 17 3月 202422 3月 2024

出版物シリーズ

名前18th European Conference on Antennas and Propagation, EuCAP 2024

会議

会議18th European Conference on Antennas and Propagation, EuCAP 2024
国/地域英国
CityGlasgow
Period17/03/2422/03/24

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