摘要
We propose a method to improve positioning accuracy while reducing energy consumption in an indoor Wireless Local Area Network(WLAN) environment.First,we intelligently and jointly select the subset of Access Points(APs) used in positioning via Maximum Mutual Information(MMI) criterion.Second,we propose Orthogonal Locality Preserving Projection(OLPP) to reduce the redundancy among selected APs.OLPP effectively extracts the intrinsic location features in situations where previous linear signal projection techniques failed to do,while maintaining computational efficiency.Third,we show that the combination of AP selection and OLPP simultaneously exploits their complementary advantages while avoiding the drawbacks.Experimental results indicate that,compared with the widely used weighted K-nearest neighbor and maximum likelihood estimation method,the proposed method leads to 21.8%(0.49 m) positioning accuracy improvement,while decreasing the computation cost by 65.4%.
We propose a method to improve positioning accuracy while reducing energy consumption in an indoor Wireless Local Area Network （WLAN） environment. First, we intelligently and jointly select the subset of Access Points （APs） used in positioning via Maximum Mutual Information （MMI） criterion. Second, we propose Orthogonal Locality Preserving Projection （OLPP） to reduce the redundancy among selected APs. OLPP effectively extracts the intrinsic location features in situations where previous linear signal projection techniques failed to do, while maintaining computational efficiency. Third, we show that the combination of AP selection and OLPP simultaneously exploits their complementary advantages while avoiding the drawbacks. Experimental results indicate that, compared with the widely used weighted K-nearest neighbor and maximum likelihood estimation method, the pro- posed method leads to 21.8% （0.49 m） positioning accuracy improvement, while decreasing the computation cost by 65.4%.
基金
the High-Tech Research and Development Program of China，the National Seience Foundation for Young Scientists of China，the China Postdoctoral Science Foundation funded project
关键词
室内定位
投影技术
接入点
节能高效
信号
无线局域网络
定位精度
最大互信息
indoor positioning
energy efficientcomputing
WLAN
maximum mutual information
orthogonal locality preserving projection
