Abstract: Target detection and identification are disrupted by concentrated false targets jamming for the plenty of false echoes.It is difficult for radar to identify and suppress the false signals because of the high correlativity between false signals and the true ones. In the presence of that problem, the fusion identification and suppression technique against false targets jamming is proposed based on the features of signals and data. And the concentrated false target signal is identified and suppressed depending on statistical distribution feature extraction of velocity measurements, spectral line suppression in peak neighborhood, basic probability assignment (BPA) construction based on spectral line distribution and signal amplitude, and fusion identification based on D-S evidence theory. Simulation results verify the validity of the proposed technique.