一种新的共生EM传感器分类法
A New Taxonomy for Symbiotic EM Sensors
摘要：
很明显，电磁频谱现在迅速达到饱和，特别是对于低于10 GHz的频率。影响世界各地监管机构的政府已经采取拍卖频谱使用的方式，在某种意义上衡量特定用户的重要性。为适度的带宽支付了数十亿美元。地球观测，天文学和类似的科学驱动的社区无法在财政上与这样的压力系统竞争，所以这是政府必须介入并评估/监管情况的地方。很高兴看到通信和广播团体已经走到一起，在IEEE标准IEEE802.22中制定频谱的重要部分（大约50 MHz到800 MHz）的共享。该标准（称为“电视空白空间网络”（建立在较低级别的标准上））展示了一种固定和移动用户可以在地理分布广泛的区域中使用认知无线电和用户地理数据库进行协作的方式。这种空白（WS）标准在文献中有很好的描述，并不是这篇短文的主要主题。我们希望扩展WS概念的想法，以包括EM传感器（如雷达）采用这种方法来共享频谱的想法，从而在频谱访问方面实现飞跃。我们假设网络的传感器，使用WS社区开发的工具，可以取代和增强我们目前的EM传感器。我们首先定义传感器网络需要什么（有一些历史），然后根据de Bary \cite{symb}定义的共生分类法，定义这些传感器和其他用户（特别是通信）如何共存。这种新的分类法对于理解很重要，应该取代雷达世界中有些过时的术语。
英文摘要：
It is clear that the EM spectrum is now rapidly reaching saturation, especially for frequencies below 10~GHz. Governments, who influence the regulatory authorities around the world, have resorted to auctioning the use of spectrum, in a sense to gauge the importance of a particular user. Billions of USD are being paid for modest bandwidths. The earth observation, astronomy and similar science driven communities cannot compete financially with such a pressure system, so this is where governments have to step in and assess /regulate the situation. It has been a pleasure to see a situation where the communications and broadcast communities have come together to formulate sharing of an important part of the spectrum (roughly, 50 MHz to 800 MHz) in an IEEE standard, IEEE802.22. This standard (known as the "TV White Space Network" (built on lower level standards) shows a way that fixed and mobile users can collaborate in geographically widespread regions, using cognitive radio and geographic databases of users. This White Space (WS) standard is well described in the literature and is not the major topic of this short paper. We wish to extend the idea of the WS concept to include the idea of EM sensors (such as Radar) adopting this approach to spectrum sharing, providing a quantum leap in access to spectrum. We postulate that networks of sensors, using the tools developed by the WS community, can replace and enhance our present set of EM sensors. We first define what Networks of Sensors entail (with some history), and then go on to define, based on a Taxonomy of Symbiosis defined by de Bary\cite{symb}, how these sensors and other users (especially communications) can co-exist. This new taxonomy is important for understanding, and should replace somewhat outdated terminologies from the radar world.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
