Hybrid optimization method for cognitive and MIMO radar code design
- Resource Type
- Conference
- Authors
- Aittomaki, Tuomas; Koivunen, Visa
- Source
- 2017 25th European Signal Processing Conference (EUSIPCO) Signal Processing Conference (EUSIPCO), 2017 25th European. :2226-2229 Aug, 2017
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Doppler effect
MIMO radar
Delays
Simulated annealing
Linear programming
Cognitive radar
waveform design
optimization
constant-modulus waveforms
- Language
- ISSN
- 2076-1465
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.