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算法和量子遗传算法的混合定位算法,采用二进制量子编码和量子旋转门更新个体,针对TDOA方式进行最佳坐标搜索。仿真结果表明,该算法性能稳定,能找到全局最优的解,相对于Chan算法精度更高,相对于遗传算法有更快的收敛速度。
To resolve the nonlinear optimization problem of TDOA Location,a hybrid method that employs a quantum genetic algorithm and a Chan algorithm were proposed.Individuals was updated by using binary-quantum-coding and quantum rotate gate,the optimal coordinate search was made.The simulation results show that the algorithm is steady and get the global optimal solution.It has a higher accuracy than the Chan algorithm and a faster convergence speed than the genetic algorithm.
出处
《舰船电子工程》
2011年第11期65-67,107,共4页
Ship Electronic Engineering
关键词
无线定位
量子遗传算法
CHAN算法
最大似然估计
wireless location
quantum genetic algorithm
Chan algorithm
maximum likelihood estimation
