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基于多杂波分布模型的自适应单元平均恒虚警检测 被引量:7

Adaptive CA-CFAR Detection For Multi-class Clutter Distribution Model
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摘要 针对机载预警(AEW)雷达多杂波分布模型的恒虚警检测问题,提出一种自适应单元平均恒虚警(ACA-CFAR)检测方法.这种检测方法是在经典CA-CFAR检测方法基础上加入自适应判断选择背景参考子窗的一种CFAR处理方法.它是根据杂波功率水平的变化选择背景杂波单元,在此基础上结合CA-CFAR检测方法实现检测.仿真结果表明,ACA-CFAR恒虚警检测方法在均匀背景和多目标背景下均具有较好的检测性能,并且运算量小. Concerning CFAR detection for multi-class clutter distribution based on AEW radar, a method of adaptive CA-CFAR detection was presented. The detector joined adaptive judgments and choice module based on classic CA-CFAR. After being judged and choosed background region for average of clutter region data, it employed CA-CFAR detector. Results show that the method has a good detection performance not only in homogeneous environments but also in multi-target interference environments, and its operation work is not much.
出处 《空军雷达学院学报》 2005年第3期4-7,共4页 Journal of Air Force Radar Academy
关键词 恒虚警检测 自适应单元平均恒虚警 多目标环境 constant false alarm rate (CFAR) detection adaptive CA-CFAR multi-target environments
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