计算机应用 ›› 2011, Vol. 31 ›› Issue (03): 636-638.DOI: 10.3724/SP.J.1087.2011.00636

• 网络与通信 • 上一篇    下一篇

窄带音频信号时差估计算法

罗进文1,胡正伟1,蒋占军2,杨桂芹1,焦芳芳1   

  1. 1. 兰州交通大学 电子与信息工程学院
    2. 兰州交通大学 电子与信息工程学院,兰州730070;2.东南大学 移动通信国家重点实验室,南京210096
  • 收稿日期:2010-09-07 修回日期:2010-11-07 发布日期:2011-03-03 出版日期:2011-03-01
  • 通讯作者: 胡正伟
  • 作者简介:罗进文(1955-),男,甘肃兰州人,教授,主要研究方向:无线电定位;胡正伟(1987-),男,河南信阳人,硕士研究生,主要研究方向:无源定位中的时差估计;蒋占军(1975-),男,甘肃会宁人,副教授,博士,主要研究方向:未来移动通信系统;杨桂芹(1971-),女,甘肃兰州人,副教授,主要研究方向:盲信号处理;焦芳芳(1986-),女,河南新乡人,硕士研究生,主要研究方向:盲信号处理。
  • 基金资助:
    甘肃省自然科学基金资助项目(1010RJZA065);东南大学移动通信国家重点实验室开放基金资助项目(W200914)

Time delay estimation algorithm for narrowband audio frequency signal

LUO Jin-wen1,HU Zheng-wei1,JIANG Zhan-jun2,YANG Gui-qin1,JIAO Fang-fang1   

  1. 1. School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou Gansu 730070, China
    2. School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou Gansu 730070, China; 2. National Mobile Communications Research Laboratory, Southeast University, Nanjing Jiangsu 210096, China
  • Received:2010-09-07 Revised:2010-11-07 Online:2011-03-03 Published:2011-03-01
  • Contact: HU Zheng-wei

摘要: 研究定位中的窄带音频信号时差估计问题,给出时差估计的信号模型,在研究传统广义相关时差估计算法及基于希尔伯特变换时差估计算法基础上,提出基于接收信号分数阶希尔伯特变换的时差估计算法。通过仿真实验,得到不同变换阶数下归一化后的时差估计均方误差曲线,在最优时差估计域下,与广义相关法及希尔伯特变换时差估计算法相比,提出的算法具有较好的估计性能。

关键词: 定位, 时差估计, 窄带音频信号, 广义相关, 分数阶希尔伯特变换

Abstract: The issue of time delay estimation of narrowband audio frequency signal was studied, the signal model of time delay estimation was given, the traditional time delay estimation method of generalized correlation and the time delay estimation method based on the Hilbert transformation were studied, and then, a time delay estimation method based on the fractional Hilbert transformation was constructed in this paper. Finally, the mean square error curve of time delay estimation based on different fractional order was given through computer simulation. In the best case, compared with the estimation method of generalized correlation and Hilbert transformation, the simulation results show that the fractional Hilbert transformation method has better performance.

Key words: positioning, time delay estimation, narrowband audio frequency signal, generalized correlation, fractional Hilbert transformation

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