Advanced Chirp Transform Spectrometer with Novel Digital Pulse Compression Method for Spectrum Detection

Based on chirp transform and pulse compression technology, spectrometers (CTSs) can be used to perform high-resolution real-time spectrum measurements. Nowadays, they are widely applied for weather astronomical observations. The surface acoustic wave (SAW) filter is a key device compression. system performance significantly affected by the dispersion characteristics match large insertion loss of SAW filters. In this paper, linear phase sampling accumulating (LPSA) algorithm was developed replace matched fast By selecting points satisfying specific periodic distribution, intermediate frequency (IF) signal carrying information input could detected compressed. Spectrum measurements across entire operational bandwidth performed shifting fixed in time domain. A two-stage resolution subdivision method also sparse spectrum, which shown improve calculation speed. simulation experiment results demonstrate that LPSA realize with adequate high amplitude accuracy resolution. Compared existing digital reduce number required calculations, especially signals.