Abstract
In this paper, we introduce a MIMO radar transmit beam-pattern optimization method in which the peak sidelobe level and the ripple of the focus region can be controlled. Using the sum-of-squares representation of trigonometric polynomials, the beampattern optimization can be done without discretizing the angle domain. The disadvantage of this method is that the desired beampattern has to be a piece-wise trigonometric polynomial or piece-wise constant. Given that the actual beampattern is a trigonometric polynomial, this constraint on the desired beampattern does not incur a loss of performance. It is shown that considerable reduction in computational complexity with equal or smaller approximation error compared to the discretized optimization approach can be achieved when optimizing two-dimensional beampatterns.
| Original language | English |
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| Title of host publication | Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 |
| Editors | Michael B. Matthews |
| Publisher | IEEE |
| Pages | 578-583 |
| Number of pages | 6 |
| Volume | 2017-October |
| ISBN (Electronic) | 9781538618233 |
| DOIs | |
| Publication status | Published - 2017 |
| MoE publication type | A4 Article in a conference publication |
| Event | Asilomar Conference on Signals, Systems & Computers - Pacific Grove, United States Duration: 29 Oct 2017 → 1 Nov 2017 Conference number: 51 |
Publication series
| Name | Asilomar Conference on Signals, Systems, and Computers proceedings |
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| ISSN (Electronic) | 2576-2303 |
Conference
| Conference | Asilomar Conference on Signals, Systems & Computers |
|---|---|
| Abbreviated title | ASILOMAR |
| Country/Territory | United States |
| City | Pacific Grove |
| Period | 29/10/2017 → 01/11/2017 |
Keywords
- beampattern design
- convex optimization
- MIMO radar
- sum-of-squares representation
- transmit beamforming