RSS-based AoA Estimation System for IoT Applications using Rotman Lens

In this paper, we present a new Angle of Arrival (AoA) estimation system for Internet of Things (IoT) applications. The proposed system utilizes the received signal strength (RSS) to estimate the AoA of the received signal in the 868 MHz frequency band. The system consists of two sub-systems: Sub-system 1 utilizes a Rotman lens to provide analog beamforming capabilities and Sub-system 2 utilizes the sparsity-based regularized minimization technique to estimate the AoA of the received signal based on the RSS values. An experiiment has been conducted in an anechoic chamber to validate the AoA estimation accuracy. The experimental results reveal that the proposed system can accurately estimate the AoA of the received signals based on the RSS values.

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