A method for countering dense false target jamming based on correlation sample selection

Dense false target jamming is suppressive and deceptive. Traditional anti-jamming measures, such as side-lobe canceller, are invalid. In this paper, a method based on jamming sample selection is presented to counter dense false target jamming. The method first judges the correlation between the signal in the main channel and that in the auxiliary channel, then selects jamming samples through correlation coefficient, finally calculates adaptive weight according to the least mean square (LMS) criterion. Simulation results are given to demonstrate its efficiency.