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Mismatch network in active radar transponder

This paper is devoted to design a new type of mismatch network to modulate the retransmitted signal of an active radar transponder (ART). It can effectively distinguish the reflected ART signal from background signals. The effects of separation depend on the characteristics of the mismatch network. In order to achieve the best separation between the reflected ART signal and background signals, we need to make optimal design of mismatch network. This paper gives a general network design which is based on Paired-Echo Theory. The optimal coefficients can be solved by simulation experiments with compression of line frequency modulate (LFM) signals. The results prove that the mismatch network could separate the reflected ART signal from background signals effectively. The optimal weighting coefficients were solved with certain SNR conditions.