Matched-Filter based Backscatter Communication for IoT Devices over Ambient OFDM Carrier

TL;DR

This paper introduces a novel matched-filter based backscatter communication method for IoT devices using ambient OFDM carriers, enhancing detection performance through joint estimation and detection.

Contribution

It proposes a new approach employing matched-filtering at the backscatter device to enable efficient carrier estimation and improve backscatter communication performance.

Findings

Matched-filtering improves detection accuracy.

Joint estimation enhances signal reliability.

Performance gains shown through analysis and simulations.

Abstract

In this paper, we study backscatter communication (BC) for power-limited devices that are connected to a network for the Internet of Things (IoT), where joint estimation and detection is carried out at a receiver to detect signals from a backscatter device (BD) with ambient orthogonal frequency division multiplexing (OFDM) carrier. In conventional BC, in order to avoid the difficulty of the carrier estimation, the energy detector is usually considered at a receiver at the cost of poor performance. To improve the performance, in this paper, we consider a novel approach that allows the carrier estimation at the receiver via joint estimation and detection. In particular, in the proposed approach, the matched-filtering at the BD (for the transmitter filter) is employed to impose a certain property that allows efficient and reliable carrier estimation via joint estimation and detection. Through the performance analysis and simulation results, we show that the matched-filtering at the BD in the proposed approach can improve the performance.