BEAMFORMING FEEDBACK-BASED MODEL-DRIVEN ANGLE OF DEPARTURE ESTIMATION TOWARD LEGACY SUPPORT IN WIFI SENSING: AN EXPERIMENTAL STUDY

Beamforming Feedback-Based Model-Driven Angle of Departure Estimation Toward Legacy Support in WiFi Sensing: An Experimental Study

In this study, we experimentally validated the possibility of estimating the angle of departure (AoD) using multiple signal classification (MUSIC) with only WiFi control frames for beamforming feedback (BFF), defined in IEEE 802.11ac/ax.The examined BFF-based MUSIC is a model-driven algorithm that does not require a pre-obtained database.This is he

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MIMU/Odometer Fusion with State Constraints for Vehicle Positioning during BeiDou Signal Outage: Testing and Results

With the rapid development of autonomous vehicles, the demand for reliable positioning results is urgent.Currently, the ground vehicles heavily depend on the Global Navigation Satellite System (GNSS) and the Inertial Navigation System (INS) providing reliable and continuous navigation solutions.In dense urban areas, especially narrow streets with t

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