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Knowledge-aided signal processing: a new paradigm for radar and other advanced sensors

机译：知识辅助的信号处理：雷达和其他高级传感器的新范例

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摘要

Recently, significant progress has been made in the development of physics-based, knowledge-aided (KA) signal processing strategies supported by improvements in real-time embedded computing architectures. These developments provide designers of advanced sensor systems an unprecedented degree of flexibility when implementing next generation adaptive sensor systems. In the case of radar, this has been manifested in the first ever, real-time, KA space-time adaptive processing (KA-STAP) system for advanced clutter/interference suppression. This paper provides exemplars of real-world effects giving rise to the need for "intelligent" adaptation schemes and overviews the KA approach to sensor signal processing in some detail. Moreover, we survey a collection of papers describing recent KA sensor research that follow in this issue
机译：最近，在实时嵌入式计算体系结构的改进的支持下，基于物理的知识辅助（KA）信号处理策略的开发取得了重大进展。这些进展为实现下一代自适应传感器系统的高级传感器系统设计人员提供了前所未有的灵活性。就雷达而言，这已经在有史以来第一个用于高级杂波/干扰抑制的实时KA时空自适应处理（KA-STAP）系统中得到了体现。本文提供了真实世界效果的示例，从而产生了对“智能”自适应方案的需求，并详细概述了用于传感器信号处理的KA方法。此外，我们调查了一系列描述本期后续KA传感器研究的论文

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