Abstract:

In the presence of clutter, the accurate recognition rate for traditional selfprotection repeating track false-target deceptive jamming is low, and the accurate identification rate of distinguishing true or false targets using a single signal characteristic is also low. Aiming at the problems, a new technique of anti selfprotection repeating track false-target deceptive jamming is proposed. The conventional multi-target tracking algorithm is used for eliminating the influence of clutter firstly. Then the angle test based on target state estimation and the N/M logic rule are used to determine whether radar is jammed by self-protection repeating track false-target deceptive jamming. If the jamming exits, the amplitude and phase quantization information of the target signal is extracted, then the multi-level fuzzy comprehensive evaluation is adopted to distinguish true or false targets jointly. The technique can recognize self-protection repeating track false-target deceptive jamming with the high accurate recognition rate, and can eliminate the false targets which form the stable track. Simulation results verify the feasibility and validity of the proposed technique.