A Method of Radar Target Recognition Basing onWavelet Packets and Rough Set

摘要

In the target recognition or classification, extracting effective classifycationrnfeatures from original target signals is very important. The effectivernfeatures of target can be extracted by wavelet transforms (WT). The rough setrntheory (RST) is used to process the features of target identification, and a miningrnalgorithm is established, which stores the original information with table andrndeletes redundant information by simplifying the table, and finally mines thernuseful information. Based on this method, the made rules are chosen. The applicationsrnof WT and RST in information processing meet the need of originalrninformation processing in the target identification. A new recognition method isrnpresented in this paper. Firstly, the content of WT and RST is reviewed, thernfeature of the target is obtained by WT, then identification algorithms are givenrnusing RST and the radar target is reconditioned from correlation matching. At thernend, experiments of recognition using the data of three kinds of aircraft models arernperformed and demonstrated that method can achieve quite satisfactory results.