TDOA Positioning Method Based on Taylor Series Expansion Based on Cuckoo Search Algorithm

Abstract

In order to solve the problems of low accuracy and large computation in traditional locating methods, an uWB locating method based on Taylor series expansion TDOA of cuckoo search algorithm is proposed. It is to substitute the nonlinear equation established by TDOA positioning measurement value into the initial value obtained by cuckoo search algorithm. This method utilizes the powerful maximum value search ability of Cuckoo algorithm to provide initial value for Taylor series expansion algorithm, which solves the problem that Taylor series expansion algorithm is sensitive to initial value and has good convergence characteristics. According to the simulation results, the TDOA positioning algorithm based on The Taylor series expansion of cuckoo search algorithm has a significant improvement in positioning accuracy compared with the common Chan-Taylor algorithm, and can obtain more accurate positioning results without increasing the system hardware cost.