【摘要】 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。更多还原

【Abstract】 By combining the advantages of the Chan algorithm and Taylor series algorithm, the paper proposes one kind of localization method which based on the Chan algoridim of choosing initial values and Taylor series expansion method of precision iteration. The algorithm combines the advantages of the Chan algorithm good performance in estimation and Taylor series algorithm high speed of convergence in iteration. The simulation results show that if the parameters are assumed reasonably, the hybrid algorithm has higher stability, the RMSE reduced by 64m compare with the localization result of Chan algorithm when the time measurement accuracy is 10 us.更多还原