New method for modeling of temporal-spatial correlated K-distributed clutter based on weighted norm

A new method for modeling and simulation of temporal-spatial correlated K distributed clutter is proposed, based on weighted norm in discrete complex liner space. First, generate time-correlated clutter by the way of classic ZMNL or SIRP method; secondly, normalize the generated one-dimension clutter, then transform it into two-dimension clutter, which satisfy certain property, by liner matrix transformation; thirdly, iterate and improve the two-dimension clutter by solving the minimum weighted norm in discrete complex liner space. The proposed method is proved by theoretical derivation that the generated sequence satisfies the property of temporal-spatial clutter, which has certain time correlation, spatial correlation and amplitude. Finally, computer simulation proves the validity and feasibility of the model.