A novel anti-deception jamming method of time-sensitive target based on trajectory characteristics

For current time-sensitive anti-deception jamming methods, waveform diversity, spatial-polarization domain filtering and feature library identification are employed to eliminate deception jammings. However, high system design complexity and engineering implementation cost severely limit the application of these algorithms. In order to address the above mentioned problem, a novel anti-deception jamming method based on trajectory characteristics is proposed from the perspective of trajectory processing. Through analysing the trajectory characteristic difference between different types of deception jamming and real target, high-order trajectory fitting coefficients, parameter matching relationship and multi-channel amplitude statistical characteristics are extracted severally. Accordingly, passive deception jamming, active range-Doppler deception jamming, active angle deception jamming and real targets can be distinguished. The proposed algorithm makes full use of the advantages of multi-frame trajectory processing for anti-deception jamming, meanwhile, it takes account both the system design complexity and the anti-jamming performance. Simulation results show effectiveness of this algorithm.