TDOA Positioning Method Based on Mixed Strategy Sparrow Search Algorithm

Abstract

To reduce the positioning error, a sparrow search algorithm based on mixed strategy is proposed when solving TDOA equation is complicated. To resolve the trouble that sparrow search algorithm is prone to partial optimum value and its convergence accuracy is not high, Chan algorithm is introduced to restrict the initialization scope of community, and adjust the number of guards by nonlinear function. The simulation consequences make clear that MSSSA has good searching and expanding ability, and the positioning error of MSSSA is reduced under the conditions of different base station layout, different cell radius and measurement error.