Countering the active deception jamming which is repeated by a Digital Radio Frequency Memory (DRFM) has been a challenging problem. Utilizing the characteristics that the Range Gate Pull Off (RGPO) jamming has a slightly different center frequency from the input radar signal and evenly spaced harmonics, a novel anti-jamming approach is proposed based on Singular Spectrum Analysis (SSA). First, the singular values energy distribution diversity between jamming harmonics and target echo, which are pretreated through SSA decomposition, is extracted for jamming detection. Then according to the center frequency diversity, a suitable subspace of singular values is divided for recovering the target echo, which means the jamming is mitigated simultaneously. The proposed approach does not need to estimate noise parameter, and has the precious property of a Constant False-Alarm Rate (CFAR) in the jamming detection stage. The validity of the proposed method is evaluated using experimental data via Monte Carlo simulation.
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