Xin Fengming, Li Jing, Wang Yan, Zhang Mingfeng
School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China.
Entropy (Basel). 2022 Dec 17;24(12):1841. doi: 10.3390/e24121841.
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.
由于认知雷达打破了传统雷达的开环收发模式,认知雷达的自适应波形设计已成为雷达系统研究的核心问题。本文研究了杂波环境下雷达发射波形的设计方法。由于在实际中精确表征目标和杂波频谱并不常见,因此引入了一种单稳健发射波形设计方法来解决目标频谱不精确或杂波频谱不精确的问题。此外,考虑到雷达无法同时获得精确的目标和杂波频谱,提出了一种新颖的双稳健发射波形设计方法。在该方法中,将信干噪比和互信息作为目标函数,并在发射能量约束下建立了双稳健波形的优化模型。利用拉格朗日乘数法求解最优双稳健发射波形。仿真结果表明,双稳健发射波形在最坏情况下能使信干噪比和互信息最大化;若雷达系统采用其他发射波形,信干噪比和互信息的性能将会下降。