Research on Indoor Positioning Algorithm Based on Trilateral Positioning and Taylor Series Expansion

Abstract

The paper firstly introduces the trilateral positioning and Taylor series expansion. In order to solve the problem of low positioning accuracy of trilateral positioning and being sensitive to the initial value of Taylor series expansion, the paper proposes an indoor co-location algorithm based on the trilateral positioning and Taylor series expansion. Next, an actual indoor position system is designed based on the proposed algorithm. The experimental results show that the co-location algorithm improves positioning accuracy and reduces error, which is suitable to the actual indoor positioning.