基于Chan和Taylor的TDOA协同定位算法研究

Research of TDOA Cooperative Location Algorithm Based on Chan and Taylor

在无线电定位技术中,Chan算法的计算量小,在噪声服从高斯分布的环境下,定位精度高,但在非视距环境下定位精度下降。Taylor算法的精度高和顽健性强,但它对初始值有很强的依赖性。在此基础上,提出一种协同的定位算法:将Chan算法和Taylor算法有机结合,扬长避短,既继承了Chan算法计算量小的特点,又具备了Taylor算法的精确性和顽健性。仿真结果表明,协同定位算法能有效地抑制非视距传播中恶劣信道环境的影响,且性能稳定。

In the system of radio location,Chan algorithm has a small computational and high accuracy in the Gaussian noise environment.However,under the NLOS,it performs degradation.Taylor series expansion method has been widely used for its high accuracy and good robustness.Since the performance of Taylor algorithm depends highly on the initial estimation,a new cooperative location algorithm based on Chan and Taylor algorithm was proposed to inherit the characteristics of a small computational and the high accuracy and good robustness.The simulations and tests indicate that the cooperative algorithm can effective inhibit adverse noise environment in the NLOS channel,and has stable performance.