Mobile Location Estimation Using Fuzzy-Based IMM and Data Fusion

被引：51

作者：

Yang, Chang-Yi ^{[1
]}

Chen, Bor-Sen ^{[2
]}

Liao, Feng-Ko ^{[2
]}

机构：

[1] Natl Penghu Univ, Dept Comp Sci & Informat Engn, Penghu 880, Taiwan

[2] Natl Tsing Hua Univ, Dept Elect Engn, Hsinchu 300, Taiwan

来源：

IEEE TRANSACTIONS ON MOBILE COMPUTING | 2010年 / 9卷 / 10期

关键词：

Data fusion; location estimation; fuzzy-based IMM smoother; line-of-sight (LOS); non-LOS (NLOS); time-of-arrival (TOA); received signal strength (RSS); NONLINEAR DYNAMIC-SYSTEMS; CONTROL DESIGN; EQUALIZATION; TRACKING;

D O I：

10.1109/TMC.2010.105

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1424 / 1436

页数：13

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