应对拥挤无线电环境的AGC索引管理算法
Algorithm for AGC index management against crowded radio environment
AI总结：
本文提出一种基于历史运行指标预测最佳AGC索引或可变增益范围的接收器算法，有效预判干扰，在接收灵敏度与随机干扰免疫力之间实现最佳权衡。
摘要：
本文描述了一种接收器，采用创新方法根据接收器运行指标（丢包/成功接收）的历史记录，预测最佳自动增益控制（AGC）索引或最合适的可变增益范围，以用于下一个数据包接收，并预判有效载荷接收期间可能出现的干扰源。这使得接收器即使在增益冻结的有效载荷接收期间发生干扰，也能对干扰源具有更高的免疫力，同时仍确保最佳的灵敏度水平。因此，该方法允许设置接收器增益，以在接收灵敏度和随机干扰免疫力之间实现最佳权衡。
英文摘要：
This paper describes a receiver that uses an innovative method to predict, according to history of receiver operating metrics (packet lost/well received), the optimum automatic gain control (AGC) index or most appropriate variable gain range to be used for next packet reception, anticipating an interferer appearing during the payload reception. This allows the receiver to have higher immunity to interferers even if they occur during the gain frozen payload reception period whilst still ensuring an optimum sensitivity level. As a result, the method allows setting the receiver gain to get an optimum trade-off between reception sensitivity and random interferer immunity.
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。
