首先介绍了雷达系统设计过程中各分系统的重要参数,分析了各设计参数之间的制约关系,并以此作为未来雷达优化的约束条件;然后,对比了当前典型多目标优化算法的优缺点,分析其不同的适用领域;再从雷达波形、天线以及发射机、系统工程等多个角度对当前已经应用于雷达设计中的智能优化技术进行了分类介绍;最后,对未来雷达的智能化发展趋势进行了展望。以期为未来雷达的智能化应用及智能化雷达的优化设计提供参考。

Firstly, the key parameters of each subsystem in the radar system are introduced and the constraints between the parameters as the constraint condition for radar optimization are analyzed. Secondly, the advantages and disadvantages of current typical multi-objective optimization algorithms are compared and their different application fields are analyzed. Thirdly, the intelligent optimization technologies that have been applied to radar design are classified and introduced from different perspectives of radar waveform design, antenna design, transmitter and so on. Finally, the future development trend of the intelligentization of radar is prospected. It is hoped that the summary analysis of this article can provide a reference for the intelligent design of radar in the future.

TN958