Random noise polarimetry is a new radar technique for high-resolution probi
ng of subsurface objects and interfaces. The University of Nebraska has dev
eloped a polarimetric random noise radar system based on the heterodyne cor
relation technique. Simulation studies and performance tests on the system
confirm its ability to respond to phase differences in the received signals
. In addition to polarimetric processing capability and the simplified syst
em design, random noise radar also possesses other desirable features, such
as immunity from radio frequency interference (RFI), The paper discusses t
he theoretical foundations of random noise polarimetry, and presents exampl
es out of the entire data set collected that demonstrate the usefulness of
the image processing and Stokes matrix presentation to enhance target detec
tion using the coherent random noise radar.