Sonar clutter is one of the primary limitations to active ASW. This work focuses on statistical analysis of clutter-like returns from some multi-static measurements. Non-Gaussian characterizations of multi-static clutter from a mud volcano field are presented. The received data are taken from either the Five Octave Research Array (FORA) or the NURC triplet array that have been used to collect extensive monostatic and bistatic data in a recent sea trial on the Malta Plateau off Sicily called Clutter 07. This work uses data from that sea trial to characterize non-Gaussian behavior of multi-static clutter from a mud volcano field using pulsed sources in the 800–3500 Hz band. Either the Page test or a maximum likelihood procedure is used to isolate the clutter-like returns before processing. K-distributions with their shape and scale parameters are used to describe non-Gaussian behavior together with the models of Abraham and Lyons to infer physical descriptors from the clutter. The ability to geo-reference key statistical measures of clutter allows CFAR processors to adaptively set thresholds and reduce false alarms. Examples are shown to demonstrate this. Also included are presentations of the shape parameter versus bistatic aspect angle and the cumulative density functions for this parameter. [Work supported by ONR code 321US.]