The problem of pulse compression in weather radars is particularly challenging due to the distributed nature of the targets and to the high gradients of reflectivity that can be encountered along range. This poses strong requirements in terms of low energy of the sidelobes and low peaks of the output of the receive filter, in order to retrieve correctly the range profiles of reflectivity. The pulse compression approaches presented in this paper are based both on a matched filter and on a mismatched receiver. The pursued objective is minimum sidelobe energy and peak level through a strategy based on nonlinear iterative optimization.
Nonlinear iterative optimization approaches for pulse compression in weather radars / Facheris L.; Argenti F.. - ELETTRONICO. - 2020-:(2020), pp. 1-6. (Intervento presentato al convegno 2020 IEEE Radar Conference, RadarConf 2020 tenutosi a Firenze, Italia nel 2020) [10.1109/RadarConf2043947.2020.9266656].
Nonlinear iterative optimization approaches for pulse compression in weather radars
Facheris L.;Argenti F.
2020
Abstract
The problem of pulse compression in weather radars is particularly challenging due to the distributed nature of the targets and to the high gradients of reflectivity that can be encountered along range. This poses strong requirements in terms of low energy of the sidelobes and low peaks of the output of the receive filter, in order to retrieve correctly the range profiles of reflectivity. The pulse compression approaches presented in this paper are based both on a matched filter and on a mismatched receiver. The pursued objective is minimum sidelobe energy and peak level through a strategy based on nonlinear iterative optimization.I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.