New target recognition method based on high-range resolution polarimetric radar

For HRR profile identification application, it is of importance to use as few as possible of matched-filters under the restriction of given probability of error and rejection. In this paper, a new method of target recognition called range-polarization multi-dimensional correlation matching classification is presented, which combine the polarization information with high resolution range information to adapt arbitrary pose angle of target, the optimal expressions are designed according to the demand of error an reject probabilities. The prosed method was performed in three steps: First, the theory of range- polarization multi-dimensional correlation matching was introduced. Then, multi-dimensional correlation matching expression were trained. Finally, some experimental results were given. The results of experiments demonstrated that his method has advantages of small operation amount and less matched filters.© (2001) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.