利用目标与杂波先验知识的机载雷达发射波形自适应生成方法

发射波形自适应能够优化雷达在检测、跟踪和抗干扰等方面的能力，但其性能的好坏与雷达目标和杂波先验知识有很强的相关性。采用最大输出信杂噪比准则设计的雷达发射波形自适应方法已经在理论上被证实可行和有效。为了提升这类方法的实际应用价值，本文利用Swerling统计模型和数字高程模型（Digital elevation model，DEM）提供的目标和杂波先验信息，针对机载相控阵雷达，分析了基于最大输出信杂噪比（Signal-to-clutter-noise ratio，SCNR）准则的发射波形自适应方法性能和实用价值。仿真结果表明，这类发射波形能够自适应地随着目标和杂波的变化而改变，并实现二者的最优匹配，在提升雷达输出信杂噪比上优于传统发射波形，具有良好的实际应用前景。

Transmitted Waveform Adaptive Generation Method for Airborne Radar Utilizing Prior Knowledge of Target and Clutters

The adaptation of transmitted waveform can enhance radar performances in detection, track, anti-jamming, etc. But the performance of this technique is linked with the prior knowledge of the radar target and clutters. In theory, the adaptive method of transmitted waveform based on maximum output signal-to-clutter-noise ratio (SCNR) criterion has been proved to be feasible and effective. In this paper, for enhancing practical application value of this adaptive method, the performance of the transmitted waveform adaptation method was verified by utilizing the prior knowledge of targets and clutters provided by Swerling statistic model and the digital elevation model (DEM) in airborne phased array radar. The simulation results show that the transmitted waveform can adaptively vary with the change of target and clutter for achieving the optimal matching of the two. Therefore, this method is better than the traditional methods in increasing output SCNRs of radar. It has good practical application prospects.