摘要详情

ID / 提交时间

219 / 2020-01-02 07:11:00

标题

A Dual-Threshold Detector For FDA-Based Ambient Backscatter Communications

关键字

Frequency diverse array (FDA); ambient backscatter communication (AmBC); detector; bit error rate (BER); internet of things (IoTs)

主题及专题

IEEE SAM 2020: Full Regular Papers

状态

全文被拒

作者

Yan-Qi Hu / University of Electronic Science and Technology of China, China

Hui Chen / University of Electronic Science and Technology of China, China

Shilong Ji / University of Electronic Science and Technology of China, China

Wen-Qin Wang / University of Electronic Science and Technology of China, China

摘要

This paper studies an ambient backscatter communication (AmBC) system with frequency diverse array (FDA) signal, we first introduce the system model for the AmBC system, and prove that time-variant FDA signal can achieve separation of two-link signals. A dual-threshold detector is proposed to detect the tag bits, for which the thresholds are given with closed-form expression. Finally, numerical results are presented to show that the proposed detector outperforms the reference detectors in the FDA-AmBC system.