Publication 2010 Issue No. 10 - October Abstract - Mobile Location Estimation Using Fuzzy-Based IMM and Data Fusion
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Mobile Location Estimation Using Fuzzy-Based IMM and Data Fusion
October 2010 (vol. 9 no. 10)
pp. 1424-1436
 ASCII Text x Chang-Yi Yang, Bor-Sen Chen, Feng-Ko Liao, "Mobile Location Estimation Using Fuzzy-Based IMM and Data Fusion," IEEE Transactions on Mobile Computing, vol. 9, no. 10, pp. 1424-1436, October, 2010.
 BibTex x @article{ 10.1109/TMC.2010.105,author = {Chang-Yi Yang and Bor-Sen Chen and Feng-Ko Liao},title = {Mobile Location Estimation Using Fuzzy-Based IMM and Data Fusion},journal ={IEEE Transactions on Mobile Computing},volume = {9},number = {10},issn = {1536-1233},year = {2010},pages = {1424-1436},doi = {http://doi.ieeecomputersociety.org/10.1109/TMC.2010.105},publisher = {IEEE Computer Society},address = {Los Alamitos, CA, USA},}
 RefWorks Procite/RefMan/Endnote x TY - JOURJO - IEEE Transactions on Mobile ComputingTI - Mobile Location Estimation Using Fuzzy-Based IMM and Data FusionIS - 10SN - 1536-1233SP1424EP1436EPD - 1424-1436A1 - Chang-Yi Yang, A1 - Bor-Sen Chen, A1 - Feng-Ko Liao, PY - 2010KW - Data fusionKW - location estimationKW - fuzzy-based IMM smootherKW - line-of-sight (LOS)KW - non-LOS (NLOS)KW - time-of-arrival (TOA)KW - received signal strength (RSS).VL - 9JA - IEEE Transactions on Mobile ComputingER -
Chang-Yi Yang, National Penghu University, Penghu
Bor-Sen Chen, National Tsing-Hua University, Hsin-chu
Feng-Ko Liao, National Tsing-Hua University, Hsin-chu
The location of mobile station is an important issue for wireless communication systems. A location estimation scheme using fuzzy-based Interacting Multiple Model (IMM) smoother is proposed in this paper. It combines the time-of-arrival (TOA) and the received signal strength (RSS) measurements to achieve high location accuracy. The fuzzy technique is used to interpolate several linear equations to approximate the nonlinear RSS measurement. The IMM is employed as a switch between the line-of-sight (LOS) and non-line-of-sight (NLOS) states which are considered to be a Markov process with two interactive modes. By integrating the fuzzy filtering and the IMM method for range estimation between the corresponding base station (BS) and mobile station (MS), the proposed robust scheme, in association with data fusion, can efficiently mitigate the NLOS effects on the measurement range error. Simulation results are given to confirm the performance of the proposed method.

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Index Terms:
Data fusion, location estimation, fuzzy-based IMM smoother, line-of-sight (LOS), non-LOS (NLOS), time-of-arrival (TOA), received signal strength (RSS).
Citation:
Chang-Yi Yang, Bor-Sen Chen, Feng-Ko Liao, "Mobile Location Estimation Using Fuzzy-Based IMM and Data Fusion," IEEE Transactions on Mobile Computing, vol. 9, no. 10, pp. 1424-1436, Oct. 2010, doi:10.1109/TMC.2010.105