卫星应用在多路径环境中的到达方向 (Direction-of-Arrival,DoA) 估计性能,具有里斯色变和空间相关性
Mutmainnah Hasib1, Sithamparanathan Kandeepan1, Wayne S T Rowe1
1School of Engineering, Royal Melbourne Institute of Technology (RMIT) University, Melbourne 3000, Australia.
Sensors (Basel, Switzerland)
|July 8, 2023
概括
这项研究模拟了卫星通信中的到达方向 (DoA) 角度,并结合了空间相关性以提高估计准确性. 结果显示,在卫星系统中DoA估计的根平均平方误差 (RMSE) 性能得到改善.
科学领域:
- 卫星通信 卫星通信
- 信号处理 信号处理
- 阵列信号处理 阵列信号处理
背景情况:
- 在各种轨道上的卫星通信应用中,到达方向 (DoA) 估计至关重要.
- 现有的方法缺乏DoA角度的综合模型,不论是高度角度和空间相关性的影响.
研究的目的:
- 开发一个新的框架来建模卫星通信中的DoA角度相对于高度角度.
- 研究空间相关性对卫星系统中DoA估计技术的影响.
- 引入一个包含关联的信号模型,专门用于DoA估计.
主要方法:
- 开发了DoA角度建模的封闭式表达式,考虑了天线外观,卫星/地球站位置和高度.
- 引入了一个信号模型,该模型包含卫星通信通道的空间相关性.
- 通过上下链路的蒙特卡洛模拟,使用根平均平方误差 (RMSE) 评估DoA估计性能.
主要成果:
- 拟议的框架准确计算了地球站的高度角度和模型DoA角度.
- 将空间信号相关性纳入DoA估计中的RMSE性能显著提高.
- 模拟结果显示性能与Cramer-Rao下界 (CRLB) 相比,在添加式白高斯噪声 (AWGN) 下.
结论:
- 开发的DoA角度建模框架是独一无二的,它解决了文献中的差距.
- 空间相关性建模对于提高卫星通信中DoA估计准确性至关重要.
- 该研究为通过先进的DoA估计技术改善卫星通信系统性能提供了有价值的见解.
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