基于跟踪器的最佳波形选择自适应方案

J. Cabrera
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引用次数: 6

摘要

处理能力的提高和雷达信号处理的进步使波形多样化成为可能。已经证明,当先前的环境知识可用时,或者通过自适应杂波估计,波形分集可以获得很多信息。对于跟踪系统,也证明了响应跟踪器输出的波形变化也是有益的。本文着重于后一方向的研究,介绍了跟踪系统中波形选择自适应的研究概况和新成果。特别地,我们引入了自适应方法的黄金标准,并证明了黄金标准对于一个简单的自适应律是满足的。通过数值模拟来说明本文的主要结果。
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Tracker-based adaptive schemes for optimal waveform selection
Gains in processing power and advances in radar signal processing enable waveform diversity. It has been demonstrated that much can be gained with waveform diversity when previous knowledge about the environment is available, or through adaptive clutter estimation. For tracking systems, it has been also demonstrated that waveform variations in response to tracker outputs can also be beneficial. The paper focuses on the latter line of research, presenting a survey and new results pertaining to adaptation for waveform selection in tracking systems. In particular, we introduce a golden standard for adaptive methods, and show that the golden standard is satisfied for a simple adaptive law. Numerical simulations are presented to illustrate the main results in the paper.
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