智能文化算法在移动台定位技术中的应用研究

摘要

Nonlinear optimization problem has been a difficult study existing among location technology. Culture algorithm as a new type of smart algorithm has its unique advantages to solve nonlinear optimization problem. According to the characteristic of the location system and the culture algorithm, an algorithm that combines Chan algorithm with culture algorithm is proposed to solve nonlinear optimization problems in TDOA-based location. The simulation results show that, compared with the traditional method and other intelligent algorithms, this algorithm has a more stable performance, higher location accuracy, and faster convergence.%非线性优化问题一直是无线定位技术研究的难点.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.针对定位系统和文化算法的特点,提出一种将Chan算法与文化算法相结合的算法.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,定位精确度较高,收敛速度较快.