在合作频谱传感中使用起重波形辅助EM联合估计和检测
Hengyu Tian1, Xu Zhao2, Shiyong Chen1
1School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China.
Sensors (Basel, Switzerland)
|September 9, 2023
概括
这项研究引入了一种用于认知无线电频谱传感的新方法. 它通过准确检测可用的频率来提高频谱利用率,即使事先的信息有限.
科学领域:
- 电气工程 电气工程
- 信号处理 信号处理
- 无线通信无线通信
背景情况:
- 认知无线电 (CR) 通过识别用于动态资源分配的光谱孔来提高频谱利用率.
- 准确的无线环境信息至关重要,但在现实世界中很难获得.
- 关键参数,如信号噪声比 (SNR),噪声差异和通道占用率,事先确定是具有挑战性的.
研究的目的:
- 为认知无线电提出一种全盲频谱传感方法,克服了先前参数估计的局限性.
- 在动态无线环境中提高检测性能和效率.
主要方法:
- 采用升级波束辅助的预期最大化 (EM) 联合估计和检测技术.
- 提升波段用于噪声方差估计,以提高检测概率和收速度.
- 整合了流学习策略,以动态估计SNR和道先前占用率,以适应SU的流动性.
主要成果:
- 拟议的方法实现了全盲检测,在没有事先知识的情况下估计了关键参数.
- 提升波束集成可以改善噪声差异估计,从而导致更快的收和更高的检测概率.
- 流学习有效地处理SNR和频道占用率估计的SU流动性.
- 模拟结果显示,该方法的检测性能与半盲电磁技术相美.
结论:
- 开发的提升波束辅助EM方法为认知无线电中全盲频谱传感提供了强大的解决方案.
- 这种方法通过提高光谱孔检测的准确性和效率来提高频谱利用率.
- 该方法对移动二级用户 (SUs) 的适应性使其适用于实用,动态的无线环境.
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