Indoor Location Algorithm of Back Propagation Neural Network Based on Residual Analysis

摘要：

　　In indoor environment,there are gross errors in random measured values of base station,which has effect on generalization ability of BP neural network and then results in low location accuracy.In order to improve location accuracy,location algorithm of BP Neural Network based on residual analysis is proposed,namely conducting pretreatment on measured values separately in training phase and location phase of BP neural network with twice residual analysis and getting rid of measured value with bigger error.The simulation result shows that such algorithm is better than BP algorithm both in aspects of convergence rate and location effect.

关键词： Indoor location BP neural network Residual analysis

作者: CHEN Cheng WANG Ping XING Jianchun

作者单位: College of National Defense,PLA University of Science and Technology,Nanjing 210007

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 467-471

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）