Projects per year
A novel computationally efficient method for jointly designing the space-(slow) time (SST) transmission with unimodular waveforms and receive adaptive filter is developed for different radar configurations. The range sidelobe effect and Doppler characteristics are considered. In particular, we develop a novel approach for jointly synthesizing unimodular SST waveforms and minimum variance distortionless response receive adaptive filter for two cases of known Doppler information and presence of uncertainties on clutter bins. Corresponding non-convex optimization problems are formulated and efficient algorithms are derived. The main ideas of the algorithm developments are to decouple composite objective function of the formulated problems, generate minorizing surrogates, and then solve the joint design problem iteratively, but in closed form for each iteration by means of minorization-maximization technique. The proposed algorithms demonstrate good performance and have fast convergence speed and low complexity.
|Title of host publication||2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)|
|Publication status||Published - 2018|
|MoE publication type||A4 Article in a conference publication|
|Event||IEEE International Conference on Acoustics, Speech, and Signal Processing - Calgary, Canada|
Duration: 15 Apr 2018 → 20 Apr 2018
|Name||Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing|
|Conference||IEEE International Conference on Acoustics, Speech, and Signal Processing|
|Period||15/04/2018 → 20/04/2018|
- Adaptive filter
- joint waveform design
- space-(slow) time
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- 1 Finished
Transmit beamspace for active compressive sensing and communication with multiple waveforms
Upadhya, K., Gao, R., Vorobyov, S., Li, Y., Rizwan Ullah, R., Dosti, E., Kocharlakota, K. & Ghorbani Veshki, F.
01/09/2016 → 31/08/2020
Project: Academy of Finland: Other research funding
Advances and New Opportunities in MIMO Radar - Theoretical Analysis and Algorithms
Visa Koivunen & Sergiy Vorobyov
1 item of Media coverage
Press/Media: Media appearance