基于文化算法的蜂窝网定位技术研究

Cellular network location technology based on cultural algorithms

利用TDOA测量参数的蜂窝网无线定位技术一直是人们研究的热点,其中存在的非线性优化问题一直是研究的难点.而文化算法作为一种新型的智能算法在解决非线性优化问题方面有其独特的优势.为此,提出一种将Chan算法与文化算法相结合的算法.当接收端在空间随机分布时,利用该算法解决TDOA定位估计中遇到的非线性最优化问题.仿真结果表明,该算法性能稳定;与传统算法以及其他智能算法相比,定位精度较高,收敛速度较快.

Cellular network location via TDOA parameter measurement is always a research hotspot in communication field, in which the nonlinear optimization problem has been a difficult research problem. However, the culture algorithm, as a new type of smart algorithms, owns its unique advantages to solve nonlinear optimization problem. Therefore, we proposed an algorithm that combines Chan algorithm with culture algorithm. This algorithm can solve nonlinear optimization prob space. The simulation resu this algorithm has a more s ems in TDOA-based location in the case that the receivers are randomly distributed in ts showed that, compared with the traditional method and other intelligent algorithms, able performance, higher location accuracy and faster convergence rate.