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组合幂调频信号的时频移估计

汤健明 仇洪冰 郑霖 杨超

电讯技术2017,Vol.57Issue(5):592-597,6.
电讯技术2017,Vol.57Issue(5):592-597,6.DOI:10.3969/j.issn.1001-893x.2017.05.017

组合幂调频信号的时频移估计

Time and Frequency Offset Estimation Using a Combined Power Frequency-modulated Signal

汤健明 1仇洪冰 1郑霖 1杨超1

作者信息

  • 1. 桂林电子科技大学 信息与通信学院,广西 桂林 541004
  • 折叠

摘要

Abstract

In order to accurately estimate the parameters of time and frequency offset of a received signal and reduce the computation complexity,a combined power frequency-modulated(CPFM) signal is designed,and the related estimation is derived.The CPFM signal is composed of positive and negative power frequency-modulated(PFM) signals with a fixed time interval.The time and frequency offset estimation with the CPFM signal includes two stages:firstly,the conjugate CPFM signal correspondingly multiplies the CPFM signal to reduce the signal power order;then time delay and frequency offset are estimated independently.The cubic phase function(CPF) is adopted to estimate the time delay.In addition,the frequency offset is estimated by the phase cancellation using the adjacent positive and negative PFM signals.Compared with the estimation by fractional Fourier transform(FRFT),the proposed method avoids the influence of time delay on the estimation of frequency offset,and only requires twice one-dimensional peak searching while the former requires searching in a two-dimensional domain.Simulation results show that the time and frequency offset of a CPFM signal can be estimated accurately.Besides the mean squared error(MSE) of frequency offset estimation is close to the Cramer-Rao lower bound(CRLB).

关键词

幂调频信号/线性调频信号/时频移估计/三次相位函数/分数阶傅里叶变换

Key words

power FM signal/linear FM signal/time and frequency offset estimation/cubic phase function/fractional Fourier transform

分类

信息技术与安全科学

引用本文复制引用

汤健明,仇洪冰,郑霖,杨超..组合幂调频信号的时频移估计[J].电讯技术,2017,57(5):592-597,6.

基金项目

国家自然科学基金资助项目(61362006 ()

61371107) ()

广西自然科学基金资助项目(2014GXNSFBA118288) (2014GXNSFBA118288)

广西无线宽带与信号处理重点实验室基金项目(GXKL061501) (GXKL061501)

电讯技术

OA北大核心CSTPCD

1001-893X

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