低复杂度的联合到达角度和到达时间估计在UWB系统中的多路径信号
Weiming Deng1, Jianfeng Li1, Yawei Tang1
1College of Electronic Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
一个新的低复杂度算法通过高效估计多路径信号的到达角度 (AOA) 和到达时间 (TOA) 来增强超宽带 (UWB) 系统. 与传统的2D-MUSIC算法相比,这种方法显著降低了计算负载.
科学领域:
- 信号处理 信号处理
- 无线通信无线通信
- 阵列信号处理 阵列信号处理
背景情况:
- 传统的二维多个信号分类 (2D-MUSIC) 算法在超宽带 (UWB) 系统中提供到达时间 (TOA) 和到达角度 (AOA) 的联合估计.
- 然而,2D-MUSIC的计算复杂性很高,仅限于双天线配置.
研究的目的:
- 在UWB系统中开发一个低复杂度的算法,用于联合AOA和TOA估计,解决现有方法的局限性.
- 将数据模型从双天线扩展到天线阵列,以改进空间处理.
主要方法:
- 拟议的算法将双天线传感数据模型扩展到天线阵列配置.
- 它将2D-MUSIC的2D光谱峰值搜索转化为AOA估计的顺序1D搜索优化问题.
- 随后通过使用获得的AOA值进行另一次1D搜索来实现TOA估计.
主要成果:
- 与2D-MUSIC相比,该算法实现了较低的计算复杂性,同时保持了类似的估计准确性.
- 它在模拟中表现出比Root-MUSIC和ESPRIT算法更好的性能.
- 该方法可以区分主路径信号,即使是未知的传输波形,表明更广泛的应用.
结论:
- 提出的低复杂度算法有效估计UWB多路径环境中的AOA和TOA.
- 它在2D-MUSIC上提供了显著的计算优势,使其更适用于现实世界的应用.
- 该算法的稳定性和更广泛的应用性提高了其在先进的无线通信系统中的价值.
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