Mobile User Tracking Algorithm via Velocity Estimation for Microcellular Urban Environment
نویسنده:
, , , , , , , , , , , ,سال
: 2007
چکیده: A novel tracking algorithm for mobile user based on velocity estimation in microcellular urban environment is proposed in this paper. The Short-Time Fourier analysis of received signal strength is employed to estimate mobile speed. Utilizing user’s mobility model and a bank of extended Kalman filters, the algorithm tracks the mobile user by switching to the suitable extended Kalman filter based on the velocity and average received power estimates. The proposed tracking algorithm shows a good ability to predict user mobility behavior in urban area with multipath fading and shadowing phenomena.
کلیدواژه(گان): Mobile tracking,mobility model,local mean estimation,corner detection,extended Kalman filter
کالکشن
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آمار بازدید
Mobile User Tracking Algorithm via Velocity Estimation for Microcellular Urban Environment
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| contributor author | ابوالفضل کیان زاد | en |
| contributor author | سیدنوید میرمطهری | en |
| contributor author | حسین ضمیری جعفریان | en |
| contributor author | میرمجتبی میرصالحی | en |
| contributor author | fa | |
| contributor author | Hossein Zamiri-Jafarian | fa |
| contributor author | Mir Mojtaba Mirsalehi | fa |
| contributor author | ابوالفضل کیان زاد | |
| contributor author | سیدنوید میرمطهری | |
| contributor author | حسین ضمیری جعفریان | |
| contributor author | میرمجتبی میرصالحی | |
| contributor author | Hossein Zamiri-Jafarian | |
| contributor author | Mir Mojtaba Mirsalehi | |
| date accessioned | 2020-06-06T13:55:13Z | |
| date available | 2020-06-06T13:55:13Z | |
| date copyright | 8/23/2007 | |
| date issued | 2007 | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/3374784 | |
| description abstract | A novel tracking algorithm for mobile user based on velocity estimation in microcellular urban environment is proposed in this paper. The Short-Time Fourier analysis of received signal strength is employed to estimate mobile speed. Utilizing user’s mobility model and a bank of extended Kalman filters, the algorithm tracks the mobile user by switching to the suitable extended Kalman filter based on the velocity and average received power estimates. The proposed tracking algorithm shows a good ability to predict user mobility behavior in urban area with multipath fading and shadowing phenomena. | en |
| language | English | |
| title | Mobile User Tracking Algorithm via Velocity Estimation for Microcellular Urban Environment | en |
| type | Conference Paper | |
| contenttype | External Fulltext | |
| subject keywords | Mobile tracking | en |
| subject keywords | mobility model | en |
| subject keywords | local mean estimation | en |
| subject keywords | corner detection | en |
| subject keywords | extended Kalman filter | en |
| identifier link | https://profdoc.um.ac.ir/paper-abstract-1012715.html | |
| conference title | Communications, Computers and Signal Processing, PacRim 2007 | en |
| conference location | Victoria | fa |
| identifier articleid | 1012715 |