独立分量分析在相控阵雷达信号检测中的应用

相控阵雷达工作的环境日益复杂,分析了干扰、杂波环境下相控阵雷达接收信号的盲可辨识性,建立了目标信号的盲分离模型,在此基础上提出了小波变换与独立分量分析方法相结合检测目标的算法。该算法首先使用小波变换对相控阵雷达接收的回波信号作消噪处理,提高目标信号的信噪比,然后使用独立分量分析方法对源信号进行分离,提取相控阵雷达接收回波中的目标信号。仿真结果验证了算法的有效性。

Separation signal with ICA in phased array radars system

The working environment of phased array radars system is progressively complex.The blind separability of recerived signals of phased array radars system in the clutter and jamming environment is analyzed and the blind signal separation model is built up.Based on the above analysis,the approach combining wavelet transform and independent component analysis is proposed to detect the signal of target in phased array system.The wavelet transform is firstly used to denoise the echo wave signals receieved by the phased array radars system.Then the independent component analysis is used to separate and extract the target signals in the received echo wave signals.Simulation results show that the proposed method is efficient.