Abstract:
This paper proposes a new TDOA-based positioning algorithm that can be applied to indoor environments. To enhance the degree of exactitude of indoor positioning and contr...Show MoreMetadata
Abstract:
This paper proposes a new TDOA-based positioning algorithm that can be applied to indoor environments. To enhance the degree of exactitude of indoor positioning and control the noise, based on the TDOA algorithm, the extended Kalman filter(EKF) positioning algorithm is constructed, and thus modified to automatic control extended Kalman filter(ACEKF) positioning algorithm, which can maintain good positioning degree of exactitude.
Date of Conference: 08-09 January 2022
Date Added to IEEE Xplore: 07 February 2022
ISBN Information: