[1]于楠,杨莘元.基于免疫克隆选择算法的TDOA定位技术[J].应用科技,2008,(11):44-48.
 YU Nan,YANG Shen yuan.TDOA location technology based on immune clone selection algorithm[J].yykj,2008,(11):44-48.
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基于免疫克隆选择算法的TDOA定位技术
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《应用科技》[ISSN:1009-671X/CN:23-1191/U]

卷:
期数:
2008年11期
页码:
44-48
栏目:
现代电子技术
出版日期:
2008-11-05

文章信息/Info

Title:
TDOA location technology based on immune clone selection algorithm
文章编号:
1009-671X(2008)11-0044-04
作者:
于楠杨莘元
哈尔滨工程大学 信息与通信工程学院,黑龙江 哈尔滨 150001
Author(s):
YU Nan YANG Shen yuan
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001,China
关键词:
到达时间差 无线定位人工免疫克隆选择 Chan算法最大似然估计
Keywords:
TDOA wireless location artificial immune clone selection Chan Algorithm maximum likelihood estimate
分类号:
TN929.53
文献标志码:
A
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算法和免疫克隆选择算法(ICSA)的混合定位算法.采用二进制编码和免疫克隆选择算法,针对TDOA方式进行最佳坐标搜索.仿真结果表明,该算法不仅能够进行准确定位,而且在同样的种群规模下能够以较少的迭代次数得到最优解.
Abstract:
In order to resolve the nonlinear optimization problem in the process of TDOA Location, a hybrid method was proposed that jointly employed a Chan algorithm and an immune clone selection algorithm. By using binary coding and immune clone selection algorithm, the optimal coordinate search was made. The experimental results showed that the algorithm can find better solutions with small generations and has a higher accuracy than other algorithms.

参考文献/References:

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备注/Memo

备注/Memo:
于楠(1980-),男,硕士研究生,主要研究方向:通信与信息系统,E-mail:yunan@hrbeu.edu.cn
更新日期/Last Update: 2008-12-15