Abstract
A new method for designing single/multiple unimodular waveforms with good weighted correlation properties, which is based on minimizing the weighted integrated sidelobe levels of waveforms, is developed. The main contributions of the paper lie in formulating the objective as a quartic form where Hadamard product of matrices is involved, converting the non-convex quartic optimization problem into a quadratic form and then solving it by means of majorization-minimization technique which seeks to find the solution iteratively. Corresponding algorithm enables good weighted correlations of the designed waveforms and shows fast convergence compared with existing methods.
Original language | English |
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Title of host publication | 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings |
Publisher | IEEE |
Pages | 3226-3230 |
Number of pages | 5 |
ISBN (Electronic) | 9781509041176 |
DOIs | |
Publication status | Published - 16 Jun 2017 |
MoE publication type | A4 Article in a conference publication |
Event | IEEE International Conference on Acoustics, Speech, and Signal Processing - New Orleans, United States Duration: 5 Mar 2017 → 9 Mar 2017 |
Publication series
Name | Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing |
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Publisher | IEEE |
ISSN (Electronic) | 2379-190X |
Conference
Conference | IEEE International Conference on Acoustics, Speech, and Signal Processing |
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Abbreviated title | ICASSP |
Country/Territory | United States |
City | New Orleans |
Period | 05/03/2017 → 09/03/2017 |
Keywords
- Majorization-minimization
- radar
- waveform design
- weighted correlations
Press/Media
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Advances and New Opportunities in MIMO Radar - Theoretical Analysis and Algorithms
Visa Koivunen & Sergiy Vorobyov
18/10/2018
1 item of Media coverage
Press/Media: Media appearance