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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhao, S.H. Chan, S.C. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong (Zhao, S.H.; Chan, S.C.) |
| Abstract | A novel algorithm for the mobile station (MS) location estimation with none line of sight (NLOS) error in wireless network is proposed in this paper. In the proposed algorithm, the MS location estimation problem is formulated as a simple linear approximation problem in vector space with the data corrupted by the NLOS errors. The M-estimator is employed to eliminate the NLOS errors, and a recursive algorithm is developed to solve the M-estimation normal equations. Compared to the conventional algorithms, the proposed algorithm does not rely on the prior knowledge of the statistical model of the measurement noise. Another advantage is that the proposed algorithm can track the slow moment of MS due to the recursive nature, which is hardly to achieve in other algorithms. The algorithm also possesses low arithmetic complexity. Effectiveness of the proposed algorithm is verified by the numerical simulations. |
| Starting Page | 1176 |
| Ending Page | 1179 |
| File Size | 113843 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424416837 |
| DOI | 10.1109/ISCAS.2008.4541633 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robustness Noise measurement Additive white noise Gaussian noise Degradation Time measurement AWGN Wireless networks Equations Recursive estimation |
| Content Type | Text |
| Resource Type | Article |
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