多级STAP CFAR检测技术

Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197) Pub Date : 1998-05-11 DOI:10.1109/NRC.1998.677986

J. S. Goldstein, I. Reed, P. Zulch, W. Melvin

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引用次数: 17

摘要

本文介绍了一种新的部分自适应CFAR检测方法。该处理器实现了一种新的正交子空间投影序列，根据在每个阶段观察到的互相关来分解维纳解。在时空自适应处理的总体框架下对检测性能进行了评价。结果表明，采用多通道机载雷达测量(MCARM)雷达采集的真脉冲多普勒雷达数据，这种新的部分自适应CFAR检测方法优于更复杂的本征分析方法。

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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A multistage STAP CFAR detection technique

This paper introduces a new method of partially adaptive CFAR detection. The processor implements a novel sequence of orthogonal subspace projections to decompose the Wiener solution in terms of the cross-correlation observed at each stage. The detection performance is evaluated in the general framework of space-time adaptive processing. It is demonstrated that this new approach to partially adaptive CFAR detection outperforms the more complex eigen-analysis approaches using true pulse-Doppler radar data collected by the multichannel airborne radar measurements (MCARM) radar.

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来源期刊

Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197)

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