基于结构的自适应雷达杂波消除与运动目标估计

2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI:10.1109/RADAR42522.2020.9114609

Christian C. Jones, Lumumba A. Harnett, Charles A. Mohr, S. Blunt, Chris Allen

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引用次数: 6

摘要

在美国海军研究实验室(NRL)雷达部门工作的多年里，卡尔·格拉赫博士在雷达自适应干扰抵消方面做出了重大贡献。对于这次纪念特别会议，本文利用他也帮助开发的重复最小均方误差(RMMSE)估计器来制定两种技术，其中干扰消除与信号估计联合执行，作为增强后续距离-多普勒响应的一种方式。实验结果证明了使用自由空间测量脉冲，非重复波形在s波段和标准FMCW在w波段。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Structure-Based Adaptive Radar Processing for Joint Clutter Cancellation and Moving Target Estimation

During his many years with the Radar Division of the US Naval Research Laboratory (NRL), Dr. Karl Gerlach made significant contributions to adaptive interference cancellation for radar. For this memorial tribute special session, this paper leverages the reiterative minimum mean square error (RMMSE) estimator, which he also helped to develop, to formulate two techniques whereby interference cancellation is performed jointly with signal estimation as a way to enhance the subsequent range-Doppler response. Experimental results are demonstrated using free-space measurements from pulsed, nonrepeating waveforms at S-band and standard FMCW at W-band.

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2020 IEEE International Radar Conference (RADAR)

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