采用改进遗传算法解决TDOA定位估计中的非线性优化问题  

An Enhanced Genetic Algorithm for the Nonlinear Optimization in TDOA-Based Location

作　　者：李立春[1] 冉崇森[1] 魏峰[1] 

机构地区：[1]解放军信息工程大学通信工程系,河南郑州450002

出　　处：《系统工程与电子技术》2003年第8期971-973,共3页Systems Engineering and Electronics

摘　　要：提出了当接收端在空间随机分布时 ,利用改进遗传算法解决TDOA定位估计中遇到的非线性最优化问题。采用浮点数编码遗传算法 ,引入一个非均匀变异算子 ,针对TDOA方式进行最佳坐标搜索。实验表明 ,在保证种群数量的情况下 ,该算法性能稳定 ,能找到逼近全局最优点的解 。An enhanced genetic algorithm for the nonlinear optimization in TDOA-based location is proposed. By floating point encoding and introducing a non-uniform mutation operator, the algorithm searches the optimum coordinates. The experimental results show that if the population size is big enough, the algorithm is robust and can find the coordinates. It has a higher accuracy than other algorithms.

关 键 词：到达时间差定位法 最大似然估计 非均匀变异算子 

分 类 号：TN929.53[电子电信—通信与信息系统]