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首页> 外文期刊>Aerospace and Electronic Systems Magazine, IEEE >Cognitive Radio for aeronautical air-ground communications
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Cognitive Radio for aeronautical air-ground communications

机译:航空空地通信认知无线电

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摘要

The system of air-ground communications is one of the most fundamental elements of air traffic control in the National Airspace System (NAS). The current air-ground voice communications systems are using the more than 50-year-old analog voice transmission technology in the licensed air traffic management VHF spectrum band. The limited spectrum is allocated statically based on air traffic control organization and geographic locations. With the increasing use of data applications for air-ground communications, the demand to effectively use the limited spectrum has increased. There are several proposed approaches to solve the projected saturated spectrum in the future. However, these approaches do not address the current practice of static spectrum allocation, which this author anticipates will be a major bottleneck for effective use of the limited spectrum. The current static channel assignment creates inefficient use of the limited spectrum. Regardless of whether a channel is used, it is permanently assigned to the particular geographical areas and organizations. This prevents other users from using the channels when the channels are idle. Also, this static allocation of the spectrum constrains the reassignment of channels and creates a long transition period for moving the existing analog system to a new digital system. The emerging Cognitive Radio (CR) technology provides the opportunity to address the static allocation of spectrum issue and offer a more flexible transition approach for updating the legacy air-ground radio system. The emerging CR technology provides the sensing of surrounding environment, allowing the radio to adapt to the environment accordingly. Built on software-defined radio (SDR) technology, CR is able to employ these features with the cognitive engine and the aid of several sensors. The cognitive engine carries out these tasks by obtaining all available information from sources such as sensors, protocol layers, a policy engine, and its own ha-n-nrdware, and then interprets, reasons, and makes the optimum decision to adapt. Integrated with ground radio stations and centralized management systems, the CR can dynamically use the available channels based on its actual location, environment condition, and, therefore, maximize the use of the limited spectrum.
机译:空地通信系统是国家空域系统(NAS)中空中交通管制的最基本要素之一。当前的空中地面语音通信系统在许可的空中交通管理VHF频段中使用了已有50多年历史的模拟语音传输技术。有限的频谱是根据空中交通管制组织和地理位置静态分配的。随着对空地通信的数据应用越来越多的使用,有效使用有限频谱的需求也在增加。有几种提议的方法可以解决将来的饱和频谱预测问题。但是,这些方法不能解决当前静态频谱分配的问题,因此,作者预计这将是有效使用有限频谱的主要瓶颈。当前的静态信道分配导致有限频谱的低效使用。无论是否使用渠道,都会将其永久分配给特定的地理区域和组织。这样可以防止其他用户在频道空闲时使用频道。同样,频谱的这种静态分配限制了信道的重新分配,并为将现有的模拟系统移至新的数字系统创建了一个较长的过渡期。新兴的认知无线电(CR)技术提供了解决频谱静态分配问题的机会,并提供了更灵活的过渡方法来更新传统的空地无线电系统。新兴的CR技术可感测周围的环境,从而使无线电能够相应地适应环境。 CR以软件定义的无线电(SDR)技术为基础,能够通过认知引擎并借助多个传感器来利用这些功能。认知引擎通过从传感器,协议层,策略引擎及其自身的硬件等来源获取所有可用信息来执行这些任务,然后解释原因并做出最佳适应决策。 CR与地面无线电站和集中管理系统集成在一起,可以根据其实际位置,环境条件动态使用可用信道,因此可以最大限度地利用有限的频谱。

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