New TDOA algorithm based on fuzzy BP neural network

doi:10.3778/j.issn.1002-8331.2009.23.069

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (23): 242-244.DOI: 10.3778/j.issn.1002-8331.2009.23.069

• 工程与应用 • Previous Articles Next Articles

New TDOA algorithm based on fuzzy BP neural network

WANG Bo，XU Lei，CUI Rui

Electronic Countermeasure Department，Electronic Engineering Institute，Hefei 230037，China

Received:2008-05-05 Revised:2008-10-27 Online:2009-08-11 Published:2009-08-11
Contact: WANG Bo

一种基于模糊BP神经网络的TDOA定位算法

汪波，薛磊，崔瑞

电子工程学院电子系，合肥 230037

通讯作者: 汪波

Abstract

Abstract: A new TDOA algorithm based on FNN is proposed，in which the TDOA measurement is the input and the estimate value of target position is the output.Model structure of FNN is described，which is used for location.The recursive study algorithm for regulating parameters of FNN is obtained.In the end，the effect of the number of node in the input layer and the number of fuzzy If-then rule to the location precision is analyzed by simulation experiment，and the performance is also compared between algorithm proposed in this paper and CRLB.

摘要： 提出了一种以TDOA量测作为网络输入，定位目标三维空间坐标估计值作为网络输出的模糊BP神经网络定位算法。描述了基于模糊神经网络进行定位的模型结构以及关于BP神经网络待调整参数的递归学习算法。通过仿真实验，分析了输入层节点数目和模糊If-then规则数目对定位精度的影响并将提出的算法与CRLB进行了比较。

CLC Number:

TP391

WANG Bo，XU Lei，CUI Rui. New TDOA algorithm based on fuzzy BP neural network[J]. Computer Engineering and Applications, 2009, 45(23): 242-244.

汪波，薛磊，崔瑞. 一种基于模糊BP神经网络的TDOA定位算法[J]. 计算机工程与应用, 2009, 45(23): 242-244.

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New TDOA algorithm based on fuzzy BP neural network

一种基于模糊BP神经网络的TDOA定位算法

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