基于雷达序列轮廓像的目标识别研究

Research on Target Recognition Based on Radar's Sequencable Outline Image

针对常见对海侦察雷达目标成像特点及功能的欠缺,提出了一种基于雷达回波序列轮廓像的目标识别方法。对回波序列轮廓像的分离、特征的提取、目标距离及姿态对轮廓像特征的影响等问题展开了具体的讨论,并最终以实验的方式对该方法的可行性和有效性进行了检验。测试结果表明,文中所提出的高阈值目标检测方法可以实现对目标的低错误率检测和准确定位,低阈值检测方法可以实现对目标的准确提取,且两者均具有较强的多目标处理能力和运算实时性。

Aiming at the characteristics of target image and the absence in function of sea reconnaissance radars this thesis presents a method about target recognition based on sequencable outline image of radar echoes. The thesis detailedly discusses the separation of sequencable outline image, distillation of character and the effects of target distance and pose on the outline image＇s character. In the end, it verifies the method＇s feasibility and validity by experiment. The result of test shows that the high threshold method of target detection can realize low wrong rate detection and accurate location and the low threshold method can draw target accurately. Both methods have stronger multi-target processing and real-time operation abilities.