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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shariati, N. Jiaheng Wang Bengtsson, M. |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Electrical Engineering, ACCESS Linnaeus Center, KTH Royal Institute of Technology, Stockholm, Sweden (Shariati, N.; Bengtsson, M.) || National Mobile, Communications Research Lab., Southeast University, Nanjing, China (Jiaheng Wang) |
| Abstract | The problem of robust training sequence design for the purpose of multiple-input multiple-output (MIMO) channel estimation is considered. In particular, we aim to minimize the worst-case mean squared error of the channel estimates which is formulated as a minimax optimization problem. This problem is addressed efficiently using an extended barrier method under the general assumption of an arbitrary compact convex uncertainty set. Moreover, assuming a Kronecker MIMO channel and a unitarily invariant uncertainty set, the robust design problem is diagonalized which significantly lowers the dimensionality of the optimization problem. We provide numerical examples to illustrate the performance of the proposed design. |
| Starting Page | 504 |
| Ending Page | 507 |
| File Size | 600519 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467350501 |
| ISSN | 10586393 |
| e-ISBN | 9781467350518 |
| DOI | 10.1109/ACSSC.2012.6489055 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-11-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Networks and Communications |
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