Cramer-Rao analysis of reduced order STAP processors

R. Klemm
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引用次数: 10

Abstract

The Cramer-Rao bounds (CRB) of azimuth and velocity estimates of suboptimum space-time adaptive (STAP) processors are presented. Several spatial and space-time order reducing transforms are analysed and compared with the optimum (ML) processor. Although some of the processors discussed exhibit near-optimum performance in terms of signal-to-clutter ratio some of them produce high standard deviations of target velocity and azimuth. Since estimation errors are a major input of subsequent tracking algorithms the selection and design of an appropriate processor architecture is an important task.
降阶STAP处理器的Cramer-Rao分析
提出了次优时空自适应(STAP)处理器的方位估计和速度估计的Cramer-Rao界(CRB)。分析了几种空间和时空降阶变换,并与最优(ML)处理器进行了比较。尽管所讨论的一些处理器在信杂波比方面表现出接近最佳的性能,但其中一些处理器会产生目标速度和方位角的高标准偏差。由于估计误差是后续跟踪算法的主要输入,因此选择和设计合适的处理器架构是一项重要的任务。
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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