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作 者:吴晓彪 孙合敏[1] 吴卫华[1] 蒋苏蓉[1] WU Xiaobiao;SUN Hemin;WU Weihua;JIANG Surong(Air Force Early Warning Academy,Wuhan 430019,China)
机构地区:[1]空军预警学院,武汉430019
出 处:《空军预警学院学报》2018年第4期263-266,共4页Journal of Air Force Early Warning Academy
摘 要:针对常规雷达对机场跑道异物(FOD)检测频率高、代价大,而光学设备受环境因素限制等问题,综合考虑FOD检测技术发展现状及检测需求,以机场跑道环境为背景构建了系统成像几何观测模型,提出了一种X波段车载合成孔径雷达(SAR)的FOD检测方法.该方法采用大带宽实现距离向高分辨率,而利用距离徙动算法(RMA)实现小天线口径下的高方位向分辨率.最后通过仿真验证了该方法的有效性.仿真结果表明,该方法克服了常规雷达和光学设备的缺陷,实现了较低频率下的FOD全天候检测.Foreign object debris(FOD) on airfield runway detected by conventional radar has a high frequency and a huge expense, but the use of optical equipment to detect FOD is subjected to environmental factors. To solve these problems, this paper comprehensively considering the development status of FOD detection technology and detection requirements, constructs a system imaging geometric observation model based on the airport runway environment, and then proposes a FOD detection method of using X-band vehicle-borne synthetic aperture radar(SAR). This method utilizes a large bandwidth to achieve high range resolution, and uses the range migration algorithm to achieve high azimuth resolution at the small antenna aperture. Finally, the effectiveness of the proposed method is verified by simulation, which results show that the method overcomes the defects of conventional radar and optical equipment, and realizes the all-weather detection of FOD at lower frequencies.
分 类 号:TN958[电子电信—信号与信息处理]
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