期刊
ENTROPY
卷 24, 期 12, 页码 -出版社
MDPI
DOI: 10.3390/e24121841
关键词
signal-to-interference-plus-noise ratio (SINR); mutual information (MI); single-robust; double-robust
资金
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities
- [61601109]
- [61973069]
- [N182304022]
This paper studies the method of radar transmitted waveform design in the presence of clutter. It introduces a single-robust method and a novel double-robust method to deal with the imprecise target or clutter spectrum. The optimization models for the double-robust waveform are established and solved using the Lagrange multiplier method. Simulation results show that the double-robust transmitted waveform can maximize SINR and MI in the worst case.
Owing to cognitive radar breaking the open-loop receiving-transmitting mode of traditional radar, adaptive waveform design for cognitive radar has become a central issue in radar system research. In this paper, the method of radar transmitted waveform design in the presence of clutter is studied. Since exact characterizations of the target and clutter spectra are uncommon in practice, a single-robust transmitted waveform design method is introduced to solve the problem of the imprecise target spectrum or the imprecise clutter spectrum. Furthermore, considering that radar cannot simultaneously obtain precise target and clutter spectra, a novel double-robust transmitted waveform design method is proposed. In this method, the signal-to-interference-plus-noise ratio and mutual information are used as the objective functions, and the optimization models for the double-robust waveform are established under the transmitted energy constraint. The Lagrange multiplier method was used to solve the optimal double-robust transmitted waveform. The simulation results show that the double-robust transmitted waveform can maximize SINR and MI in the worst case; the performance of SINR and MI will degrade if other transmitted waveforms are employed in the radar system.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据