Title | ||
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Pilot Design For Mimo Channel Estimation: An Alternative To The Kronecker Structure Assumption |
Abstract | ||
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This work seeks to design a pilot signal, under a power constraint, such that the channel can be estimated with minimum mean square error. The procedure we derive does not assume Kronecker structure on the underlying covariance matrices, and the pilot signal is obtained in three main steps. Firstly, we solve a relaxed convex version of the original minimization problem. Secondly, its solution is projected onto the feasible set. Thirdly we use the projected solution as starting point for an augmented Lagrangian method. Numerical experiments indicate that this procedure may produce pilot signals that are far better than those obtained under the Kronecker structure assumption. |
Year | DOI | Venue |
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2013 | 10.1109/ICASSP.2013.6638625 | 2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) |
Keywords | Field | DocType |
mimo,minimum mean square error,minimisation,vectors,linear programming,optimization,convex programming,augmented lagrangian method,noise | Kronecker delta,Mathematical optimization,Computer science,Matrix (mathematics),Minimum mean square error,Feasible region,Augmented Lagrangian method,Convex optimization,Pilot signal,Covariance | Conference |
ISSN | Citations | PageRank |
1520-6149 | 0 | 0.34 |
References | Authors | |
5 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
John T. Flåm | 1 | 35 | 4.68 |
Emil Björnson | 2 | 3446 | 171.49 |
Saikat Chatterjee | 3 | 24 | 5.32 |