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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Minvielle, P. Tantar, E. Tantar, A. Berisset, P. |
| Copyright Year | 1963 |
| Abstract | 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. |
| Sponsorship | IEEE Antennas and Propagation Society |
| Starting Page | 2862 |
| Ending Page | 2871 |
| Page Count | 10 |
| File Size | 1555082 |
| File Format | |
| ISSN | 0018926X |
| Volume Number | 59 |
| Issue Number | 8 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Arrays Antenna arrays Optimization Antenna radiation patterns Monte Carlo methods Directive antennas stochastic optimization Antenna design cross-entropy phased array |
| Content Type | Text |
| Resource Type | Article |
| Subject | Condensed Matter Physics Electrical and Electronic Engineering |
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