A Method of Radar Target Recognition Basing on Wavelet Packets and Rough Set

Abstract

In the target recognition or classification, extracting effective classifycation features from original target signals is very important. The effective features of target can be extracted by wavelet transforms (WT). The rough set theory (RST) is used to process the features of target identification, and a mining algorithm is established, which stores the original information with table and deletes redundant information by simplifying the table, and finally mines the useful information. Based on this method, the made rules are chosen. The applications of WT and RST in information processing meet the need of original information processing in the target identification. A new recognition method is presented in this paper. Firstly, the content of WT and RST is reviewed, the feature of the target is obtained by WT, then identification algorithms are given using RST and the radar target is reconditioned from correlation matching. At the end, experiments of recognition using the data of three kinds of aircraft models are performed and demonstrated that method can achieve quite satisfactory results.