[1]高洪元,曹硕男,缪善林.基于免疫算法的TDOA定位技术研究[J].智能系统学报,2007,2(1):64-68.
GAO Hong-yuan,CAO Shuo-nan,MIAO Shan-lin.Study of TDOA location technology based on immune algorithm[J].CAAI Transactions on Intelligent Systems,2007,2(1):64-68.
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GAO Hong-yuan,CAO Shuo-nan,MIAO Shan-lin.Study of TDOA location technology based on immune algorithm[J].CAAI Transactions on Intelligent Systems,2007,2(1):64-68.
基于免疫算法的TDOA定位技术研究
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
2
期数:
2007年第1期
页码:
64-68
栏目:
学术论文—人工智能基础
出版日期:
2007-02-25
- Title:
- Study of TDOA location technology based on immune algorithm
- 文章编号:
- 1673-4785(2007)01-0064-05
- Keywords:
- TDOA; wireless location; immune algorithm; chan algori thm; maximum likel ihood estimation
- 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，所设计的基于浮点数编码的免疫算法利用混沌方程产生初始种群、改进了免疫算子，提高了算法的收敛速度和性能.仿真结果表明，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，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.
- Abstract:
- In order to resolve the nonlinear optimization problem of TDOA Locatio n, a hybrid method that employs a modified immune algorithm and a Chan algorithm is proposed. The modified immune algorithm is a consociation of genetic algorit hm based on chaotic initial population and floating point code with modified imm une operator that reduces the computational complexity by providing faster conve rgence. Simulation results show that if the population size is big enough, the a lgorithm is robust and can find the coordinates of near optimization. It has a h igher accuracy than Chan algorithm and a faster convergence than genetic algorit hm.
- 参考文献/References:
-
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备注/Memo
收稿日期:2006-06-20
作者简介：
高洪元，男，1977年生，讲师.主要研究方向为智能计算和通信信号处理.E-mail:gaohongyuan@hrbeu.edu.cn.
缪善林，男，1981年生，硕士研究生.主要研究方向为宽带信号检测、处理与识别及空间谱估计.
更新日期/Last Update:
2009-05-05