基于数字高程模型数据的机载认知雷达地杂波建模方法研究  

Research on Ground Clutter Modeling of Airborne Cognitive Radar Based on Digital Elevation Model Data

作　　者：饶妮妮[1] 陈星波[1] 周加兵[1] 邱朝阳[2] 刘丁赟 

机构地区：[1]电子科技大学生命科学与技术学院,成都610054 [2]中国航空工业集团公司雷华电子技术研究所,江苏无锡214063

出　　处：《电子科技大学学报》2016年第4期511-519,共9页Journal of University of Electronic Science and Technology of China

基　　金：航空科学基金(20142080011)

摘　　要：针对机载认知雷达信号处理的特点,设计了一种基于数字高程模型数据的地杂波建模方法。该方法首先从数字高程模型数据中提取对杂波功率谱有影响的地形因子,然后结合地理地貌学理论和地形因子对数字高程模型提供的真实地貌类型进行量化分类;设计动态数据库来存储量化后的地貌信息,以提高杂波建模过程的实时性;最后基于地貌信息和后向散射系数模型构建地杂波。仿真结果表明,采用该方法构建的地杂波模型符合机载雷达所处的地貌实际情形,用作机载认知雷达的先验信息时具有真实、稳定和可靠的优势,可有效地辅助机载认知雷达提高工作性能和生存力。Airborne cognitive radar uses priori clutter knowledge-aided adaptive technique to suppress the clutter. Thus, the authenticity and validity of clutter model has a great influence on the detection performance of airborne cognitive radar. Considering the characteristics of signal processing technologies in airborne cognitive radar, this paper designs a clutter modeling method based on the digital elevation model data. The new method extracts the terrain factors influencing the power spectrum of clutter from DEM data. By combining the geographical landscape theory with the terrain factors, the real landforms provided by DEM are quantifiably classified. In order to increase the real-time in modeling clutter, a dynamic database is designed to store the quantized landform information. Finally, the ground clutter model is constructed based on the topography information and backscattering coefficient model. The simulation results show that the ground clutter model we constructed fits with the actual topography where the airborne radar locates. The model has the real, stable and reliable advantages when it is used to obtain the priori information of airborne cognitive radar and it can effectively aid airborne cognitive radar to improve detection performance and survivability.

关 键 词：机载认知雷达 数字高程模型 地杂波 知识辅助的自适应技术 先验信息 

分 类 号：TN959.1[电子电信—信号与信息处理]