摘要
为了解决TDOA定位估计中遇到的非线性最优化问题,提出了一种联合使用Chan算法和混沌优化算法的混合定位算法。针对TDOA方式进行最佳坐标搜索的问题,本文所设计的基于Chan算法的的混沌搜索方法,提高了算法的收敛速度和性能。仿真结果表明,该算法性能稳定,能找到逼近全局最优点的解,相对于Chan算法精度更高,相对于遗传算法在保证收敛性能的前提下有更快的收敛速度。
To resolve the nonlinear optimization problem of TDOA Location, a hybrid method based on the chaotic optimization algorithm and Chan algorithm is proposed. The experimental results show that the proposed method has a higher accuracy than the Chan algorithm and a faster convergence speed than the genetic algorithm.
出处
《自动化技术与应用》
2009年第7期42-45,共4页
Techniques of Automation and Applications
