An Accurate AoA Estimation Approach for Indoor Localization Using Commodity Wi-Fi Devices

Angle-of-Arrival (AoA) is one of the important indoor localization techniques. In this paper, we study on the AoA-based indoor localization by using commodity Wi-Fi devices. However, most existing AoA-based localization approaches face a critical challenge, those accuracys of AoA estimation are degraded when the Signal-to-Noise Ratio (SNR) becomes low. To solve this problem, we propose CSI forward/backward smoothing algorithm to improve the performance of AoA estimation. Experimental results show that our approach can efficiently mitigate AoA estimation accuracy deterioration at low SNRs and achieve higher localization accuracy compared with existing AoA-based localization approach in reality.