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结合Chan算法和泰勒级数展开法的优点,提出了一种基于Chan算法初值选取与泰勒级数展开法精确迭代的时差定位方法。该算法充分发挥了Chan算法初值估计性好和泰勒级数展开法收敛速度快的优点。仿真结果表明,在参数设置合理的前提下,相比Chan算法和泰勒级数展开法,该混合算法性能稳定,时差测量精度为10μs时,均方根误差较Chan算法定位结果减少了64 m。
Combining the advantages of Chan algorithm and Taylor series expansion method, a time-difference positioning method based on exact iteration of initial value selection and Taylor series expansion of Chan algorithm is proposed. This algorithm gives full play to the advantages of good initial value estimation of Chan algorithm and fast convergence of Taylor series expansion method. The simulation results show that the hybrid algorithm has a stable performance compared with the Chan algorithm and the Taylor series expansion method when the parameters are set reasonably. When the accuracy of the time difference measurement is 10 μs, the root mean square error is reduced by 64 m compared with the Chan algorithm.