A new approach for suppressing sidelobe by decomposing chirp signal in CFM space

An innovative method applied for suppression sidelobe in synthetic aperture radar (SAR) images is presented in this paper. The basic idea is to decompose the chirp signal into the unrelated chaos frequency modulation (CFM) signals uniformly in CFM space and add up their pulse compression results. As various CFM signal has different ideal thumbtack autocorrelation function, the energy from the sidelobe of the above-mentioned adding result is kept in a low level when compared with that from mainlobe. Our method can suppress the sidelobe to −40dB and hardly deteriorate resolution simultaneously. The corresponding performances are verified in the simulation experiments.