Research Article
Wideband MIMO Radar Waveform Optimization Based on Dynamic Adjustment of Signal Bandwidth
@INPROCEEDINGS{10.1007/978-3-319-73447-7_23, author={Yi-shuai Gong and Qun Zhang and Kai-ming Li and Yi-jun Chen}, title={Wideband MIMO Radar Waveform Optimization Based on Dynamic Adjustment of Signal Bandwidth}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={MIMO radar Cognition Waveform design Range profile Range resolution}, doi={10.1007/978-3-319-73447-7_23} }- Yi-shuai Gong
Qun Zhang
Kai-ming Li
Yi-jun Chen
Year: 2018
Wideband MIMO Radar Waveform Optimization Based on Dynamic Adjustment of Signal Bandwidth
MLICOM
Springer
DOI: 10.1007/978-3-319-73447-7_23
Abstract
Considering the need of multi-target imaging, a method about MIMO radar waveform optimization based on dynamic adjustment of signal bandwidth is proposed. At first, the closed-loop feedback between the range profile and the signal bandwidth is established, which can design the required bandwidth of transmit signal in different directions, according to the range profile of targets. And then, considering the request of beampattern and the bandwidth limitation, a waveform optimization model is established and solved. Therefore, the multi-target observation and the dynamic adjustment of the signal bandwidth are accomplished. What’s more, satisfactory imaging results are obtained under the least resource consumption. In the end, the simulation has proved the performance of the algorithm in low SNR circumstance.
