Jinwei Yang
ABSTRACT
Abstract: Accurate identification of various types of targets in the battlefield is an important prerequisite for completing target locking and delivering accurate strikes. All-weather uninterrupted work is the main feature of radar system, and the identification of military targets by radar echo has become one of the most effective and commonly used means at present. High Resolution Range Profile (HRRP) of radar targets can effectively reflect the geometric feature information such as target structure and shape, which provides important feature support for detecting objects and realizing target identification, and HRRP has the advantages of easy acquisition, simple processing and strong real-time. The article firstly uses the HRRP features of the target obtained through the radar target echo and adopts the Dechirp processing imaging method; secondly, it adopts the Support Vector Machine (SVM) method to realize the target recognition based on the target HRRP, and on this basis, it proposes the voting judgment matrix strategy and uses the Boosting multi-classifier Based on this, a voting judgment matrix strategy and a Boosting multi-classifier fusion processing strategy are proposed to enhance the target recognition performance and thus improve the accuracy of the target recognition results; finally, the research method is experimentally verified to achieve the effective recognition of three types of vehicle targets.
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