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Eclectic Technology: Artificial Intelligence and Radio Contesting

机译:折衷技术:人工智能和无线电竞赛

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摘要

Scott Wright, KØMD, is the Editor of National Contest Journal (NCJ). I've asked him to share an interesting perspective on how artificial intelligence could someday impact at least one aspect of amateur radio. - Steve Ford, WB8IMY Imagine that it's 2030, and nearly all hams have a software-based transceiver, either alone or in combination with a superheterodyne architecture. A software-defined radio (SDR) is able to sample the spectrum of interest in parallel to what you're receiving off your antenna system. It can decode the CW signals and pre-populate the call signs like a spotting cluster. It also measures the received strengths of each signal it's identifying, and the "pileup rating" for each running station. These ratings can be color coded or have a small numerical rating. Some running stations have few stations calling them. They are rated as "5," meaning they would be easy to contact. Some are being called by hundreds of contesters and are rated as a "1," or a very difficult pileup to break.
机译:斯科特·赖特(Scott Wright),KØMD,是《国家竞赛杂志》(NCJ)的编辑。我已经请他分享一个有趣的观点,即人工智能有一天会如何影响业余无线电的至少一个方面。 -WB8IMY的Steve Ford想象一下,到2030年,几乎所有火腿都单独或与超外差架构结合使用基于软件的收发器。软件无线电(SDR)能够与您从天线系统接收到的频谱并行地采样感兴趣的频谱。它可以对CW信号进行解码,并像聚类群集一样预先填充呼叫符号。它还测量所识别的每个信号的接收强度,以及每个运行站的“堆积等级”。这些等级可以用颜色编码或具有较小的数字等级。一些正在运行的工作站很少有工作站调用它们。它们被评为“ 5”,这意味着它们很容易联系。一些被数百名选手称呼,并被评为“ 1”,即很难打破的筹码。

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    《QST》 |2020年第5期|51-51|共1页
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    Scott Wright;

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