This work deals with the range compression applied to MARSIS (Mars Radar for Subsurface and Ionosphere Sounding) data proposing a new approach to improve the S/N after matched filtering for both surface and subsurface responses. It will be also illustrated how the geometric term correction can be performed on a particular class of data previously not correctable according to surface/subsurface theoretical models. Finally, it will be demonstrated how a better estimation of the volume scattering can be obtained. © 2012 IEEE.
Range compression optimization for subsurface investigation in the MARSIS experiment / Restano, Marco; A., Masdea; G., Picardi; Seu, Roberto. - 1:(2012), pp. 367-370. (Intervento presentato al convegno 2012 19th International Conference on Microwaves, Radar and Wireless Communications, MIKON 2012 tenutosi a Warsaw nel 21 May 2012 through 23 May 2012) [10.1109/mikon.2012.6233546].
Range compression optimization for subsurface investigation in the MARSIS experiment
RESTANO, MARCO;SEU, Roberto
2012
Abstract
This work deals with the range compression applied to MARSIS (Mars Radar for Subsurface and Ionosphere Sounding) data proposing a new approach to improve the S/N after matched filtering for both surface and subsurface responses. It will be also illustrated how the geometric term correction can be performed on a particular class of data previously not correctable according to surface/subsurface theoretical models. Finally, it will be demonstrated how a better estimation of the volume scattering can be obtained. © 2012 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
