目标屏蔽带自适应调整的CFAR处理器

发布时间：2018-03-09 08:24

本文选题：雷达目标检测　切入点：自适应恒虚警处理器　出处：《雷达科学与技术》2017年05期 　论文类型：期刊论文

【摘要】：常规的单元平均恒虚警(CA-CFAR)和双参量恒虚警(BP-CFAR)检测方法在均匀杂波环境中通常能获得较好的检测性能,但在复杂的杂波背景下,例如当目标邻近大目标时,严重的恒虚警损失会导致目标(特别是小目标)难以检测。基于AIS信息协作感知的AW-CFAR处理方法利用AIS的大目标感知信息,通过设置宽度自适应控制的大目标屏蔽带,有效排除大目标对杂波估计的影响。仿真实验结果表明,相对于传统的CA-CFAR和BP-CFAR,该方法对临近大目标的小目标的检测性能改善了8~20dB。
[Abstract]:Conventional CCA-CFAR and BP-CFAR detection methods can obtain better detection performance in uniform clutter environment, but in complex clutter background, for example, when the target is near a large target, the detection performance is better than that of the conventional CFAR detection method, but in complex clutter background, for example, when the target is near a large target, the detection performance is better than that of the conventional CFAR detection method. The severe CFAR loss will lead to the difficulty of detecting the target (especially the small target). The AW-CFAR processing method based on the cooperative perception of AIS information makes use of the large target perception information of AIS and sets the shielding band of the large target with adaptive width control. The simulation results show that compared with the traditional CA-CFAR and BP-CFAR, the detection performance of the proposed method for small targets near large targets is improved by 820 dB.
【作者单位】：大连海事大学;
【基金】：国家自然科学基金(No.61231006,61501078) 中央高校基本科研业务费专项基金(No.3132016208)
【分类号】：TN957.51

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