A Novel Passive Location Algorithm based on Neural Networks

摘要：

　　a novel short-wave passive location algorithm based on radial basis function neural networks (RBFNN) is proposed.Using the RBFNNs characteristic of approximating any continuous nonlinear function,the fusion of electromagnetic spectrum sensing data is realized by sample learning.And the mapping model of short-wave monitoring data,detecting data and targets position information is constructed.Moreover,the effect of error and ionosphere disturbance on the accuracy of location accuracy can be relieved by using the generalization and robustness of RBFNN.A large number of measured data verify the scientificity and the accuracy of the proposed algorithm.

关键词： single station location two-dimensional direction of arrival radial basis function neural networks reflection height

作者: Luo Zheng Liu Donghua Yu Fei

作者单位: Electronic System Engineering Company of China Beijing, China

会议类型: 国际会议

会议名称: 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference(IAEAC 2015)(2015 IEEE先进信息技术,电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 1124-1127

在线出版日期: 2015-12-19（万方平台首次上网日期，不代表论文的发表时间）