Reference : Sparse Antenna Array Optimization with the Cross-Entropy Method
Scientific journals : Article
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/10531
Sparse Antenna Array Optimization with the Cross-Entropy Method
English
Minvielle, Pierre [DAM, CEA, LeBarp, France]
Tantar, Emilia mailto [INRIA Bordeaux Sud-Ouest, Mathematics Institute of Bordeaux, France]
Tantar, Alexandru-Adrian mailto [INRIA Bordeaux Sud-Ouest, Mathematics Institute of Bordeaux, France]
Bérisset, Philippe [DAM, CEA, LeBarp, France]
2011
IEEE Transactions on Antennas & Propagation
IEEE Antennas and Propagation Society
59
8
2862 - 2871
Yes
International
0018-926X
[en] The interest in sparse antenna arrays is growing, mainly due to cost concerns, array size limitations, etc. Formally, it can be shown that their design can be expressed as a constrained multidimensional nonlinear optimization problem. Generally, through lack of convex property, such a multiextrema problem is very tricky to solve by usual deterministic optimization methods. In this article, a recent stochastic approach, called Cross-Entropy method, is applied to the continuous constrained design problem. The method is able to construct a random sequence of solutions which converges probabilistically to the optimal or the near-optimal solution. Roughly speaking, it performs adaptive changes to probability density functions according to the Kullback-Leibler cross-entropy. The approach efficiency is illustrated in the design of a sparse antenna array with various requirements.
http://hdl.handle.net/10993/10531
10.1109/TAP.2011.2158941

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Limited access
IEEE_SparseAntenna.pdfPublisher postprint2.09 MBRequest a copy

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.