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计算机工程 ›› 2010, Vol. 36 ›› Issue (06): 5-7.doi: 10.3969/j.issn.1000-3428.2010.06.002

• 博士论文 • 上一篇    下一篇

基于Chan氏算法和文化算法的协同定位

谭 枫1，杨莘元1，孙 科2，兰海燕1   

  1. (1. 哈尔滨工程大学信息与通信工程学院，哈尔滨 150001；2. 哈尔滨工程大学船舶工程学院，哈尔滨 150001)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-03-20 发布日期:2010-03-20

Cooperative Location Based on Chan and Cultural Algorithms

TAN Feng1, YANG Shen-yuan1, SUN Ke2, LAN Hai-yan1   

  1. (1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001;2. College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-03-20 Published:2010-03-20

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被引次数

7 | 2

摘要： 提出一种到达时间差(TDOA)定位方法，利用Chan氏算法进行初始定位估计，将估计结果作为经验知识存储于信念空间中，采用文化算法求解定位估计中的最大似然函数，获得最佳估计坐标值，从而实现对移动台的最终定位估计。历史知识的引入能有效避免陷入局部最优值，并改善算法的定位精度。仿真实验结果表明，该方法性能稳定、定位精度高、收敛速度快。

关键词: 文化算法, Chan氏算法, 协同定位, 最大似然估计

Abstract: A novel Time Difference Of Arrival(TDOA) location method is proposed. Chan algorithm is used in rough location estimation and the result is stored in belief space as experience knowledge. To realize the final location estimation, the Cultural Algorithm(CA) is used to get the optimum coordinates by solving the maximum likelihood function in TDOA. The proposed method can effectively avoid being trapped into local optimum and improve the location precision by history knowledge. Simulation experimental results show the method has the ability of strong stability, high precision and rapid convergence.

Key words: Cultural Algorithm(CA), Chan algorithm, cooperative location, Maximum Likelihood Estimate(MLE)

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