Xu Feng-yan, Li Liang-bin, Wang Zong-xin. A New WLAN Indoor Localization System Based on Distance-loss Model with Area Partition[J]. Journal of Electronics & Information Technology, 2008, 30(6): 1405-1408. doi: 10.3724/SP.J.1146.2006.01786
Citation:
Xu Feng-yan, Li Liang-bin, Wang Zong-xin. A New WLAN Indoor Localization System Based on Distance-loss Model with Area Partition[J]. Journal of Electronics & Information Technology, 2008, 30(6): 1405-1408. doi: 10.3724/SP.J.1146.2006.01786
Xu Feng-yan, Li Liang-bin, Wang Zong-xin. A New WLAN Indoor Localization System Based on Distance-loss Model with Area Partition[J]. Journal of Electronics & Information Technology, 2008, 30(6): 1405-1408. doi: 10.3724/SP.J.1146.2006.01786
Citation:
Xu Feng-yan, Li Liang-bin, Wang Zong-xin. A New WLAN Indoor Localization System Based on Distance-loss Model with Area Partition[J]. Journal of Electronics & Information Technology, 2008, 30(6): 1405-1408. doi: 10.3724/SP.J.1146.2006.01786
Based on indoor RSS distance-loss model,an indoor localization system is set up with means of area partition.Parameters of the model are set by comparing the signal data recorded at several collection spots with the ideal signal value lists generated by the computer,which simulates the actual environment.Then users location estimates can be achieved with Maximum Likelihood(ML)estimation algorithm.Experiments show the algorithm is effective and can obtain quite precise location result.