首页> 外文会议>Conference on Radar Sensor Technology >Ka-Band High-Altitude Precipitation Radar with Ground Measurements: Data Processing and Initial Validations
【24h】

Ka-Band High-Altitude Precipitation Radar with Ground Measurements: Data Processing and Initial Validations

机译:带有地面测量值的Ka波段高空降水雷达:数据处理和初步验证

获取原文

摘要

Data processing, calibration, and quality evaluation are critical elements for successful airborne radar missions. For a downward-looking airborne radar, the usage of ground as a calibration target has been discussed before but not completely analyzed for precipitation measurement missions at Ka-band. In this study, the team performed data analysis and calibration modeling for the Millimeter-Wave Airborne Radar for Learning and Education (MARBLE), which was developed as a recent undergraduate team effort beginning in 2016. Millimeter-wave radar missions for MARBLE include precipitation measurement and terrain remote sensing through vertical profiling. To achieve these mission goals, the team used multiple time- and spectrum-domain processing methods on the ground return data collected from 2018 NASA ER-2 engineering calibration flights. Some of the algorithms include spectrum analysis with various CPI arrangement and multi-lag processing to enhance signal-to-noise ratio (SNR). Doppler calibration based on aircraft platform motion and orientation is also considered. Useful results are obtained from ground power calibration as well as Doppler estimation. In addition, multiple ground calibration tests with actual weather results are incorporated to supplement the airborne measurements after some hardware checking and improvement. Based on the reasonable outcomes from the calibration measurements, a new high-altitude flight campaign for precipitation measurement is being planned for 2020.
机译:数据处理,校准和质量评估是成功执行机载雷达任务的关键要素。对于向下看的机载雷达,之前曾讨论过将地面用作校准目标,但并未对Ka波段的降水测量任务进行完全分析。在这项研究中,研究团队对毫米波机学习和教育用机载雷达(MARBLE)进行了数据分析和校准模型,该雷达是2016年开始的本科生团队的一项工作。研制的毫米波雷达任务包括降水测量。垂直剖面进行地形遥感。为了实现这些任务目标,该团队对从2018年NASA ER-2工程校准飞行中收集的地面返回数据使用了多种时域和频谱域处理方法。一些算法包括具有各种CPI设置的频谱分析和多延迟处理,以增强信噪比(SNR)。还考虑了基于飞机平台运动和方向的多普勒校准。从地面功率校准以及多普勒估计中可以获得有用的结果。此外,在进行了一些硬件检查和改进之后,结合了具有实际天气结果的多个地面校准测试,以补充机载测量结果。根据校准测量的合理结果,计划在2020年进行一次新的高空飞行以进行降水测量。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号