基于STAP的空中机动目标检测方法与仿真研究

Detection of Maneuvering Target and Simulation Study via Space-Time Adaptive Processing

由于机动目标回波的多普勒频率随时间变化(即发生多普勒走动),因此常规的空时自适应处理(Space-Time Adaptive Processing,STAP)方法对于这类目标的检测效果很差。提出了一种基于修正匹配滤波器的空中机动目标检测方法,该方法首先通过子空间投影抑制杂波,然后采用修正的匹配滤波器对目标的多普勒走动项进行补偿,能够在目标存在多普勒走动的情况下,获得满意的动目标检测结果。仿真结果表明,该方法能够增强机载雷达对空中机动目标的检测能力。

Due to the time-varying Doppler frequency of maneuvering target, the conventional STAP is ineffective for maneuvering target detection. The method named modified matched filter was proposed. The method combined a signal subspace clutter rejection algorithm with a modified matched filter compensating for the Doppler migration, which could detect the target with Doppler migration efficiently. Simulation results demonstrate that this method can enhance maneuvering target detection capability of the airborne radar.