梳状谱信号的空时自适应处理

The Space Time Adaptive Processing for Comb Waveforms

分析了梳状谱信号混响在空时二维空间上分布的特点,指出该类信号具有进行降维空时自适应处理的可能.根据混响分布的特点,在空时多波束方法的基础上给出了一种适合多个频点的降维算法.该方法选择所有频点处的数个辅助波束进行联合空时处理,在角度-速度平面上对目标进行搜索.仿真结果表明,该方法既达到了降维的目的,又能够有效抑制运动声呐的强混响,取得了比常规方法更好的检测性能.

The characteristics of the spatial time distribution of comb waveforms reverberation is analyzed, and it is pointed out that the signals of this type have the possibility of carrying out reduced-rank space time adaptive processing. According to the distribution characteristics, a reduced-rank algorithm that is suitable for the signals of multiple frequency is given based on the space-time multiplebeam processing approach. The algorithm carries out joint space time processing by selecting some auxiliary beams in all the frequencies. Target is searched for in the angle-speed plane. The results of simulation show that the algorithm can both reduce the rank and suppress the strong reverberation of moving sonar, and it can achieve better detection performance than conventional approaches.