Abstract
Cognitive and MIMO radars need to adapt the transmitted waveforms based on the radar task as well as the propagation and the target environments. Many waveform optimization methods proposed in the literature for optimizing the sidelobe and cross-correlation levels are based on stochastic search algorithms or slow numerical approximation methods. However, for real-time applications, it is necessary to perform the optimization fast since the radar channels and target parameters may vary rapidly. For this purpose, we propose a hybrid optimization approaches based on gradient and randomization for fast optimization of the transmit waveform codes.
| Original language | English |
|---|---|
| Title of host publication | 2017 25th European Signal Processing Conference (EUSIPCO) |
| Publisher | IEEE |
| Pages | 2226-2229 |
| ISBN (Electronic) | 978-0-9928626-7-1 |
| ISBN (Print) | 978-1-5386-0751-0 |
| DOIs | |
| Publication status | Published - 26 Oct 2017 |
| MoE publication type | A4 Conference publication |
| Event | European Signal Processing Conference - Kos Island, Greece, Kos, Greece Duration: 28 Aug 2017 → 2 Sept 2017 Conference number: 25 https://www.eusipco2017.org https://www.eusipco2017.org/ |
Publication series
| Name | European Signal Processing Conference |
|---|---|
| ISSN (Electronic) | 2076-1465 |
Conference
| Conference | European Signal Processing Conference |
|---|---|
| Abbreviated title | EUSIPCO |
| Country/Territory | Greece |
| City | Kos |
| Period | 28/08/2017 → 02/09/2017 |
| Internet address |
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