Smart Noise Jamming Suppression Method Based on Target Position Estimation

Abstract

smart noise jamming based on digital radio frequency memory (DRFM) has both suppression jamming and deception jamming effect, and is difficult to be effectively suppressed by traditional anti-jamming methods. In order to solve this problem, a smart noise jamming suppression method based on target position estimation is proposed. Firstly, the difference between tracking radar target returns and convolution smart noise jamming signals are analyzed. Then fractional Fourier transform (FRT) of linear frequency modulation (LFM) signal is derived, and the target position at the current frame is estimated based on the previous target position and velocity without jamming, followed by a filter in the FRET domain to suppress the jamming signal. Finally, the suppressed signal is transformed to time domain through inverse FRFT. Simulation results verified the feasibility of the proposed method with a high JSR.