J4 ›› 2011, Vol. 38 ›› Issue (5): 90-94.doi: 10.3969/j.issn.1001-2400.2011.05.015

• 研究论文 • 上一篇    下一篇

一种低信噪比下MPSK信号频率估计方法

崔艳鹏;胡建伟;杨绍全;王伟   

  1. (西安电子科技大学 电子对抗研究所,陕西 西安  710071)
  • 收稿日期:2010-12-07 出版日期:2011-10-20 发布日期:2012-01-14
  • 通讯作者: 崔艳鹏
  • 作者简介:崔艳鹏(1978-),女,副教授,西安电子科技大学博士研究生,E-mail: ypcui@mail.xidian.edu.cn
  • 基金资助:

    西安电子科技大学基本科研业务费资助项目(K50510020035,K50511020030);国家部委预研基金资助项目(9140A07020806DZ01)

Novel frequency estimation of MPSK signals in low SNR environment

CUI Yanpeng;HU Jianwei;YANG Shaoquan;WANG Wei   

  1. (Research Inst. of Electronic Countermeasures, Xidian Univ., Xi'an  710071, China)
  • Received:2010-12-07 Online:2011-10-20 Published:2012-01-14
  • Contact: CUI Yanpeng

摘要:

针对MPSK信号载波频率估计所需信噪比高的问题,提出一种低信噪比下MPSK信号频率估计方法.首先使用现代谱估计方法建立自回归模型,完成MPSK信号载波频率的粗估计,得到含有较小残留频偏的信号|然后进行M-th非线性变换,根据最大似然准则,估计出较高精度的残留频偏值.仿真结果表明,本算法在较低信噪比下可达到较高精度,算法稳定可靠.

关键词: MPSK信号, 频率估计, 低信噪比, M-th非线性变换, 最大似然准则

Abstract:

A novel frequency estimation method of MPSK signals in the low SNR condition is proposed, which solves the problem of requiring a high signal-to-noise ratio. First, the AR models are created by using the modern spectrum estimation method, and the small residual frequency offset signal is obtained through rough carrier frequency estimation values of the MPSK signal. Then after the M-th nonlinear transformation, the higher accuracy of the residual frequency offset value is estimated based on the maximum likelihood criterion. Simulation results show that the algorithm can lead to a higher accuracy under the low-SNR condition and that it is stable and reliable.

Key words: MPSK signals, frequency estimation, low signal to noise ratio, M-th nonlinear transformation, maximum-likelihood criterion

中图分类号: 

  • TN911
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