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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sungchang Choi Yonggyu Kim Joongsoo Ma |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea (Sungchang Choi; Yonggyu Kim; Joongsoo Ma) |
| Abstract | Existing localization algorithms which use Kalman filter for indoor environment fix noise covariance or change noise covariance by complicated filters. Since localization system does not reflect real environment around it, fixed noise covariance makes localization system unpractical. Also complicated filters limit the applications which localization algorithms can apply. In this paper, we propose a method that adaptively changes noise covariance. The proposed method recognizes changes of moving pattern based on results of localization, and then adjusts the noise covariance. In addition, the method varies localization period to catch up with changed mobile nodes's movement rapidly and reduce overhead caused by calculation of location when mobile node moves regular pattern. Simulation result from MATLAB shows the proposed method outperformed an algorithm which has constant localization period and noise covariance of Kalman filter by 30%. |
| Starting Page | 184 |
| Ending Page | 188 |
| File Size | 361967 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467301503 |
| ISSN | 17389445 |
| e-ISBN | 9788955191639 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-02-19 |
| Publisher Place | Korea (South) |
| Access Restriction | Subscribed |
| Rights Holder | GIRI |
| Subject Keyword | Kalman filters Noise Mobile communication Prediction algorithms Filtering algorithms Noise measurement Simulation Mobile node Kalman filter Localization indoor |
| Content Type | Text |
| Resource Type | Article |
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