A Frequency Offset Estimation Method based on Matched Filter Interpolation

LI Kang; LIU Guo-feng; LIAO Ye; WANG Heng

doi:10.13756/j.gtxyj.2020.02.005

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A Frequency Offset Estimation Method based on Matched Filter Interpolation

- A Frequency Offset Estimation Method based on Matched Filter Interpolation
- Study on Optical communication Issue 2, Pages: 20-24(2020)
- 作者机构：
  
  重庆邮电大学通信与信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2020.02.005
  CLC： TN911.7
- Published：2020，
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[1]李康,刘国峰,廖烨,王恒.一种基于匹配滤波插值的频偏估计方法[J].光通信研究,2020(02):20-24.

LI Kang, LIU Guo-feng, LIAO Ye, et al. A Frequency Offset Estimation Method based on Matched Filter Interpolation. [J]. (2):20-24(2020)
[1]李康,刘国峰,廖烨,王恒.一种基于匹配滤波插值的频偏估计方法[J].光通信研究,2020(02):20-24. DOI： 10.13756/j.gtxyj.2020.02.005.

LI Kang, LIU Guo-feng, LIAO Ye, et al. A Frequency Offset Estimation Method based on Matched Filter Interpolation. [J]. (2):20-24(2020) DOI： 10.13756/j.gtxyj.2020.02.005.

摘要

针对啁啾（chirp）信号的频偏估计方法存在分辨率受限和估计精度不高的问题

提出了一种基于匹配滤波插值的频偏估计（MFI-FOE）方法。首先

将接收信号与相应的匹配信号进行匹配滤波;然后

对匹配滤波输出的波形进行峰值搜索;最后

计算相对偏差

在峰值和紧邻峰值的左侧点或右侧点之间进行插值

从而得到精准的频偏估计值。仿真结果表明

与传统的频偏估计方法相比

MFI-FOE方法的信噪比门限降低了2～4 dB

在整个相对频偏估计范围内性能稳定

频偏估计的归一化均方误差更接近于克拉美罗界限。所提的MFI-FOE方法在估计精度和抗噪声能力方面都有显著地提升

验证了该方法的有效性。

Abstract

The frequency offset estimation method for chirp signal has the problem of limited resolution and low estimation accuracy. A Frequency Offset Estimation based on Matched Filter Interpolation（MFI-FOE） method is proposed. Firstly

the received signal is filtering matched with the corresponding matching signal. Then

the peak value of the waveform at the output of the matched filter is searched. Finally

we calculate the relative deviation and interpolate between the peak and the left or right point of the immediately adjacent peak to obtain an accurate frequency offset estimation. The simulation results show that the signal-noise ratio threshold of MFI-FOE method is reduced by 2～4 dB compared with the traditional frequency offset estimation method

and the performance is stable in the whole range of relative frequency offset estimation. The Normalized Mean Square Error（NMSE） of the frequency offset estimation is closer to the Cramer-Rao Bound. Therefore

MFI-FOE method can significantly improve the accuracy of estimation and anti-noise ability

which verifies the effectiveness of the method.

关键词

啁啾信号匹配滤波插值频偏估计

Keywords

chirp signalmatched filterinterpolationfrequency offset estimation

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