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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guan Gui Qun Wan An Min Huang Cheng Gang Jiang |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu (Guan Gui; Qun Wan; Cheng Gang Jiang) |
| Abstract | Sparse multi-path channels (MPC) are often encountered in several wireless communications. Exploiting the sparse property of MPC, several estimation methods have been proposed in recent years. Unlike the previous methods based on either dense MPC or sparse MPC models, we propose a novel MPC estimation method based on a generalized hybrid MPC model. The existed least squares (LS) and sparse component analysis (SCA) methods are also extended to partial SCA method by using a partially $lscr_{1}-regularized$ LS algorithm. Simulation results confirm that the proposed method performs better than both the dense MPC and sparse MPC estimation methods. |
| Sponsorship | IEEE Region 10 |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 322197 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424424085 |
| DOI | 10.1109/TENCON.2008.4766664 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-11-19 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Channel estimation Matching pursuit algorithms Wireless communication HDTV Clustering algorithms Sparse matrices Least squares methods Algorithm design and analysis Least squares approximation Propagation delay partial sparse component analysis dense channel sparse channel least squares channel estimation |
| Content Type | Text |
| Resource Type | Article |
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