A signal separation method for phased array radars

Interferences, clutter and thermal noises greatly influence the target detection by using phased array radars at low signal-to-noise ratio. A blind signal separation based brief and effective signal detection model for phased array radars is brought forward in order to extract the target information Based on the advanced mixing signal model, a method combining the wavelet transform (WT) and independent component analysis (ICA) is proposed. The signal separability of the phased array radars´ signals in the clutter and jamming environment is discussed. Simulation results demonstrate that the proposed method is quite effective to extract the target signals and the jamming signals, which is quite practical in the modern war.