GPU acceleration of range alignment based on minimum entropy criterion

The range alignment method of ISAR imaging based on the minimum entropy is computationally intensive. In order to overcome performance limitations of CPUs and traditional DSPs, we proposed a GPU acceleration method of the range alignment, under the same rule. The method includes two processes: one is code vectorization of the algorithm, and the other is GPU implication of the algorithm with Jacket. The simulation results show that GPU acceleration has greatly improved processing speed of the original algorithm.