Multi-resolution signal processing techniques for airborne radar

Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509) Pub Date : 2004-04-26 DOI:10.1109/NRC.2004.1316435

J. Bergin, C. M. Teixeira, P. Techau

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引用次数: 7

Abstract

Synthetic aperture radar (SAR) exploits very high spatial resolution via temporal integration and own-ship motion to reduce the background clutter power in a given resolution cell to allow detection of non-moving targets. Ground moving target indicator (GMTI) radar, on the other hand, employs much lower resolution processing, but exploits the physical aperture and relative differences in the space-time response between moving targets and clutter for detection. Therefore, SAR and GMTl represent two different temporal processing resolution scales which have typically been optimized and demonstrated independently to work well for detecting either stationary (in the case of SAR) or exo-clutter (in the case of GMTI) targets. Based on this multi-resolution interpretation of airborne radar data processing, there appears to be an opportunity to develop detection techniques that attempt to optimize the signal processing resolution scale (e.g., length of temporal integration) to match the dynamics of a target of interest. The paper investigates signal processing techniques that exploit long CPIs (coherent processing intervals) to improve the detection performance of GMTl radar.

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机载雷达多分辨率信号处理技术

合成孔径雷达(SAR)通过时间积分和自船运动来利用极高的空间分辨率，在给定分辨率单元内降低背景杂波功率，从而实现对非运动目标的探测。而地面运动目标指示雷达(GMTI)采用低分辨率处理，利用物理孔径和运动目标与杂波之间的相对空时响应差异进行探测。因此，SAR和GMTl代表了两种不同的时间处理分辨率尺度，它们通常被优化并独立证明可以很好地检测静止(SAR)或外杂波(GMTI)目标。基于机载雷达数据处理的这种多分辨率解释，似乎有机会开发检测技术，试图优化信号处理分辨率尺度(例如，时间积分长度)，以匹配感兴趣目标的动态。本文研究了利用较长的相干处理间隔来提高GMTl雷达探测性能的信号处理技术。

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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Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)

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