A TDOA/AOA Hybrid Positioning Based on Improved Sparrow Search Algorithm for Mobile Position Estimation

To address the difficulty in calculating nonlinear equation of time difference arrival (TDOA) positioning, as well problem measurement error hybrid arrival/angle (TDOA/AOA) positioning algorithm, an improved sparrow search algorithm is proposed to optimize and optimization mechanism retained on basis improving performance original algorithm. The maximum likelihood estimation method used calculate objective function, then, estimated function mobile station fitness generate initial population sparrows. Then, using particle swarm optimization, obtain population’s optimal solution order position. simulation results show that, when compared existing increasing number base stations increases average accuracy (SSA) by 18.54% 4.5%, respectively, and, (PSO) method, 13.79% 11.6% radius increases. SSA performs better terms accuracy, convergence speed, robustness.