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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chien-Sheng Chen Jen-Fa Huang Chun-Chieh Liu Nan-Chuang Huang |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Inf. Manage., Tainan Univ. of Technol., Tainan, Taiwan (Chien-Sheng Chen) || Adv. Optoelectron. Technol. Center, Tainan Univ. of Technol., Tainan, Taiwan (Jen-Fa Huang; Chun-Chieh Liu; Nan-Chuang Huang) |
| Abstract | Wireless location technology is mainly used to estimate the location of mobile station (MS). Positioning accuracy of the mobile station completely depends on the propagation environment of the wireless communications. The error caused by non-line-of-sight (NLOS) is the most urgent problem in positioning research. Memetic Algorithm (MA), similar to Genetic Algorithm (GA), is also called Genetic Algorithm combined with local search. MA is based on the concept of cultural evolution that combines with multi-point search features to solve combinatorial optimization problems. In this paper, we propose a novel location scheme by using MA that employs time of arrival (TOA) measurements from three base stations (BSs) to estimate the location of MS. MA is utilized to find the optimum solution in the intersections of three TOA circles. The optimum solution can be regarded as the MS location where minimizes the three circular intersection region caused by NLOS error. Simulation result will show that the proposed position location method improves the performance by mitigating the NLOS ranging error. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 662135 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479930999 |
| ISSN | 08407789 |
| e-ISBN | 9781479931019 |
| DOI | 10.1109/CCECE.2014.6900985 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-05-04 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Equations Genetic algorithms Search problems Accuracy Wireless communication Optimization Memetics Time of arrival (TOA) Mobile station (MS) Non-line-of-sight (NLOS) Memetic Algorithm (MA) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Hardware and Architecture |
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