A study of robust JDL adaptive processing based on transformation matrix

In this paper, a modified joint domain localized (JDL) algorithm based on a transformation matrix T is presented. Because the JDL algorithm based on the discrete Fourier transformation (DFT) is achieved under some restrictions, which leads to limit the use of the JDL in practice. In this work, we use the T to obtain the radar datapsilas transformation and reduced-dimension. The T is formed by the Kronecker product of a set of spatial and temporal steering vectors in the localized processing region, which are chosen by interesting spaces. It eliminates the restrictions just needed in the JDL based on the DFT, and the way of reduced-dimension processing is easy. We also make a comparison of the two kinds of JDL algorithm. Simulation results show that the performance of the JDL algorithm based on the T is improved significantly.