A Study of Suppressing Strong Clutter in Radar Signal Based ICA
Sijia Chen, Jianguo Wang · 2010
It is great difficult to handle the clutter in Radar signal processing. To reduce the influence of clutter, the paper firstly attempts to use FastICA algorithm by separating the target signal and clutter to suppress the strong clutter. The pretreatment of increasing the dimension and dividing the frequency is used before Fast ICA algorithm because of the special radar complex signals. In the same matched filter conditions, Fast ICA algorithm is proved effectively through the increased peak side lobe ratio (PSLR) and signal clutter ratio (SCR).