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Implementation and design of physical radar waveform diversity

机译：物理雷达波形分集的实现与设计

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Echo-locating mammals have been exploiting waveform diversity (WD) for about 50 million years [1], and the notion of radar waveform design has been around for several decades (see [2] and references therein). However, the current instantiation of WD was first popularized in 2002 in the hopes of addressing the growing competition for radar spectrum [3]. Since that time, there has been a tremendous amount of work on myriad aspects of WD (e.g. [4]), with a particular emphasis on leveraging higher dimensionality (e.g., multiple-input multiple-output (MIMO)). Much of this work has focused on the complex mathematical modeling and subsequent optimization of radar “waveforms” (noting that the term tends to be used rather loosely). Here we summarize recent work that seeks to connect the parameterized mathematical abstraction of radar codes, which provide the benefit of being readily optimizable, with the physical attributes and limitations of real radar systems and phenomenology. This physical perspective permits realization of the promised performance enhancements of WD on actual hardware, as well as providing the means with which to address radar spectrum issues for real systems.
机译：回声定位的哺乳动物已经利用波形多样性（WD）大约五千万年[1]，并且雷达波形设计的概念已经存在了几十年（请参见[2]及其参考）。但是，当前的WD实例化于2002年首次普及，以期解决雷达频谱竞争日益激烈的问题[3]。自那时以来，在WD的各个方面进行了大量工作（例如[4]），尤其着重于利用更高的维度（例如，多输入多输出（MIMO））。这项工作大部分集中在复杂的数学建模和雷达“波形”的后续优化上（请注意，该术语往往使用得比较松散）。在这里，我们总结了最近的工作，这些工作试图将参数化的雷达代码数学抽象与实际雷达系统和现象学的物理属性和局限性联系起来，从而使雷达代码易于优化。这种物理角度允许在实际硬件上实现WD有望实现的性能增强，并提供解决实际系统雷达频谱问题的方法。

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