机场跑道异物旋臂圆弧聚束成像方法研究

项目名称： 机场跑道异物旋臂圆弧聚束成像方法研究

项目编号： No.U1533125

项目类型： 联合基金项目

立项/批准年度： 2016

项目学科： 无线电电子学、电信技术

项目作者： 万群

作者单位： 电子科技大学

项目金额： 33万元

中文摘要： FOD是Foreign Object Debris的缩写，泛指机场跑道异物或裂缝，每年在全球造成的损失超过30亿美元。现有毫米波FOD监测技术由于获得距离向高分辨能力的成本较高，而且受跑道净空以及导航设备电磁保护区限制，在实际应用中难以采用大孔径天线、多天线阵列、合成孔径雷达成像等方法获得方位向高分辨能力，因此对占FOD绝大多数的微小目标，特别是跑道杂波中片状金属目标的检测能力受到制约，影响了推广应用。本项目研究机场跑道异物的旋臂圆弧聚束毫米波成像方法，发展基于数据驱动的自适应相位噪声抑制方法、固定场景的多幅观测数据联合重建方法，在现有的硬件条件下降低相位噪声导致的毫米波雷达FOD成像的距离向分辨率损失，提高方位向高分辨，抑制跑道杂波旁瓣对FOD成像质量影响，对保障军事和民用航空安全、提高我国在该领域的应用基础研究水平和自主创新能力具有重要的现实意义。

中文关键词： 毫米波雷达；机场跑道异物；旋臂圆弧聚束；雷达成像；相位噪声

英文摘要： FOD is the abbreviation of Foreign Object Debris on the airport runway, which caused the loss of more than $3000000000 in the world every year. Existing millimeter wave FOD detection technology achieves the high resolution ability with high cost. In practical application, it is difficult to use a large aperture antenna, antenna array, or synthetic aperture radar imaging method to obtain high resolution in azimuth due to the runway clearance and navigation equipment electromagnetic protection area restrictions. Therefore, detection ability of the vast majority of FOD, especially the small objects such as sheet metal target in the runway clutter, is restricted. In this project, we develop a method for imaging of the FOD on the airport runway, propose a data driven method for adaptive phase noise suppression, and a combined reconstruction method for multiple observation data of fixed scene. Under the existing hardware conditions, the range resolution loss of FOD imaging of millimeter wave radar due to phase noise can be reduced, the azimuth resolution can be improved by spotlight imaging, the effect of sidelobe of runway on the quality of FOD imaging can be mitigated. It has important practical significance to protect military and civil aviation security and to improve the basic research level and independent innovation ability of our country in this field.

英文关键词： millimeter wave radar;Foreign Object Debris on Airport Runway;rotating arc spotlight;radar imaging;phase noise