SMSP jamming identification based on Matched Signal transform
Li Yongping, Xiong Ying, Bin Tang · 2011 International Conference on Computational Problem-Solving (ICCP) · 2011
In this paper, a new algorithm of jamming recognition based on Matched Signal transform (MST) is proposed according to the characteristic of the Smeared Spectrum (SMSP) jamming. The analytical representations of SMSP jamming in the time domain is derived and the difference that the jamming has a different frequency modulation (FM) rate from the radar signal is studied, then a special filter is designed to identify the jamming type. The simulation shows that this method is feasible and has a fairly high correct identification ratio.