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| 一种NLOS环境下的TOA/AOA定位算法 | |
| 引用本文： | 毛永毅,李明远,张宝军.一种NLOS环境下的TOA/AOA定位算法[J].电子与信息学报,2009,31(1):37-40. |
| 作者姓名： | 毛永毅 李明远 张宝军 |
| 作者单位： | 1. 中国科学院国家授时中心,西安,710600;中国科学院研究生院,北京,100039;西安邮电学院电信系,西安,710061 2. 西安交通大学电子与信息工程学院,西安,710049 3. 西安邮电学院电信系,西安,710061 |
| 摘 要： | 为了减小NLOS传播的影响，基于几何结构的单次反射统计信道模型，该文提出一种NLOS环境下的TOA/AOA定位算法。利用RBF神经网络较快的学习特性和逼近任意非线性映射的能力，对NLOS传播的误差进行修正以减小NLOS传播的影响，再利用最小二乘(LS)算法进行定位，从而提高系统的定位精度。仿真结果表明，该算法在NLOS环境下有较高的定位精度，性能优于Chan算法，Taylor算法和LS算法。 |
| 关 键 词： | 定位算法 波达时间 电波到达角 非视距传播 最小二乘法 神经网络 |
| 收稿时间： | 2007-7-23 |
| 修稿时间： | 2008-1-10 |
A TOA/ AOA Location Algorithm in NLOS Environment |
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| Mao Yong-yi,Li Ming-yuan,Zhang Bao-jun.A TOA/ AOA Location Algorithm in NLOS Environment[J].Journal of Electronics & Information Technology,2009,31(1):37-40. | |
| Authors: | Mao Yong-yi Li Ming-yuan Zhang Bao-jun |
| Affiliation: | National Time Service Center, Chinese Academy of Sciences, Xi’an 710600, China;Graduate University of the Chinese Academy of Sciences, Beijing 100039, China; Dept. of Electronic and Information, Xi’an University of Post and Telecommunications, Xi’an 710061, China;School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China |
| Abstract: | In order to mitigate the effect of NLOS propagation, based on the Geometry Based Single- Bounced (GBSB)statistical model, a TOA/AOA location algorithm based on the RBF neural network is proposed. The fast study and non-linear approach capacity of the neural network is made use of to correct the error of NLOS propagation, then the position is calculated by Least-Square (LS) algorithm to improve the location0] accuracy. The simulation results indicate that the location accuracy is significantly improved and the performance of this algorithm is better than that of Chan algorithm, Taylor algorithm and LS algorithm in NLOS environment. |
| Keywords: | Location algorithm TOA AOA NLOS LS algorithm Neural network |
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