| 基于神经网络的TDOA定位改进算法研究 |
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| 引用本文： | 乔梁,王卫锋.基于神经网络的TDOA定位改进算法研究[J].河南师范大学学报(自然科学版),2014(4):139-143. |
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| 作者姓名： | 乔梁 王卫锋 |
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| 作者单位： | 广东金融学院计算机系;新乡学院计算机与信息工程学院; |
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| 基金项目： | 总装备部基金资助项目(5140104C703CB0102) |
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| 摘 要： | 针对传统的Chan算法在实际的非视距环境中性能将会受到很大影响这一问题,提出了一种基于神经网络的TDOA定位改进算法,这种算法通过对非视距误差进行修正,使其具有更好的定位效果.仿真实验结果表明,与传统的Chan算法相比,这种算法具有更好的定位精度和收敛速度,是一种有效的定位算法.
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| 关 键 词： | 神经网络 定位算法 非视距 到达时间差 |
Research on Improved Arithmetic of TDOA Location Based on Neural Network |
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| QIAO Liang;WANG Weifeng.Research on Improved Arithmetic of TDOA Location Based on Neural Network[J].Journal of Henan Normal University(Natural Science),2014(4):139-143. |
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| Authors: | QIAO Liang;WANG Weifeng |
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| Affiliation: | QIAO Liang;WANG Weifeng;Department of Computer,Guangdong university of finance;College of Computer and Engineering,Xinxiang University; |
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| Abstract: | According to the problem that the traditional Chan algorithm performance will be greatly affected in actual NLOS environment,a new improved arithmetic of TDOA location based on neural network is presented.This algorithm has better location effect by modifying error in NLOS.The simulation results show that the proposed method has better accuracy and convergence rate than conventional Chan algorithms and it is a kind of effective location algorithms. |
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| Keywords: | neural network location arithmetic NLOS TDOA |
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