A new waveform design method for cognitive radar

Authors:
Bin Wang;Jinkuan Wang;Xin Song;Yinghua Han
Affiliations:
College of Information Science and Engineering, Northeastern University, Shenyang, China;Engineering Optimization and Smart Antenna Institute, Northeastern University at Qinhuangdao, Qinhuangdao, China;Engineering Optimization and Smart Antenna Institute, Northeastern University at Qinhuangdao, Qinhuangdao, China;Engineering Optimization and Smart Antenna Institute, Northeastern University at Qinhuangdao, Qinhuangdao, China
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

Citing 1
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Adaptive Polarized Waveform Design for Target Tracking Based on Sequential Bayesian Inference

IEEE Transactions on Signal Processing

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Abstract

In cognitive radar system, how the transmitted waveform adapts in response to information regarding the radar environment is an important problem. In this paper, the waveform design for cognitive radar is viewed as an optimization problem. Then a new waveform design method for cognitive radar is proposed, which uses IPM (interior-point method) to carry out the optimization task. The simulation results demonstrate the validity of our algorithm.