Optimization Strategy for TDOA Location and Station Distribution Based on Adaptive DE Algorithm
曾凤 1蔡方凯 2龙宁2
扫码查看
点击上方二维码区域，可以放大扫码查看
作者信息
1. 成都工业学院 自动化与电气工程学院,成都 611730
2. 成都工业学院 网络与通信工程学院,成都 611730
折叠
摘要
为实现前沿阵地和地面防空两种典型应用约束条件下到达时间差(Time Difference of Arrival,TDOA)定位的自动布站优化,分析了这两种典型约束条件下的基站长度、站点间角度等对定位精度的影响.提出了基于自适应差分进化(Differential Evolution,DE)算法的TDOA自动布站优化策略.采用该算法对这两种约束条件下的自动布站优化进行了仿真分析,并对自适应DE算法计算复杂度进行了分析.结果表明,自适应DE算法的自动布站复杂度低,收敛快速,与定位误差分析一致,具有较好的全局寻优能力.
Abstract
To achieve automatic station distribution optimization for time difference of arrival(TDOA)under the two typical application constraints of forward positions and ground air de-fense,the impact of baseline length,distances between stations,and other factors on location pre-cision are analyzed under the two typical application constraints.TDOA automatic station distri-bution optimization strategy based on adaptive differential evolution(DE)algorithm is proposed.The algorithm is used to simulate and analyze the automatic station distribution optimization un-der these two constraints,and the computational complexity of the adaptive DE algorithm is ana-lyzed.The results show that the adaptive DE algorithm has lower computational complexity,faster convergence,consistency with positioning error analysis,and better global optimization ability for automatic station distribution.
关键词
DE算法/TDOA/前沿阵地/地面防空/布站优化
Key words
DE algorithm/TDOA/forward positions/ground air defense/station distribution opti-mization
维普
万方数据