A Wide-Range Low-Complexity Carrier Frequency Offset Estimation Algorithm

XU Heng-zhou; ZHU Hai; ZHU Si-feng; YU Zhong-yang

doi:10.3969/j.issn.0372-2112.2019.12.013

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A Wide-Range Low-Complexity Carrier Frequency Offset Estimation Algorithm

更新时间：2025-07-16

- A Wide-Range Low-Complexity Carrier Frequency Offset Estimation Algorithm
- Acta Electronica Sinica Vol. 47, Issue 12, Pages: 2550-2555(2019)
- 作者机构：
  
  周口师范学院网络工程学院,河南,周口,466001
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61801527, No.61702071);Key Scientific Research Programs of colleges and universities of Henan Province (No.19A510028);Science and Technology Development Program of Science and Technology Department of Henan Province (No.182102210152, No.182102310867, No.192102210279)
- DOI：10.3969/j.issn.0372-2112.2019.12.013
  CLC： TP911.23
- Published Online：25 December 2019，
  
  Published：2019
- 稿件说明：
移动端阅览
XU Heng-zhou, ZHU Hai, ZHU Si-feng, et al. A Wide-Range Low-Complexity Carrier Frequency Offset Estimation Algorithm[J]. Acta Electronica Sinica, 2019, 47(12): 2550-2555.
DOI：

XU Heng-zhou, ZHU Hai, ZHU Si-feng, et al. A Wide-Range Low-Complexity Carrier Frequency Offset Estimation Algorithm[J]. Acta Electronica Sinica, 2019, 47(12): 2550-2555. DOI： 10.3969/j.issn.0372-2112.2019.12.013.

摘要

针对短突发通信系统存在的频偏估计相位模糊问题，本文提出了一种宽范围低复杂度的时域相关频偏估计算法基于相位解模糊的部分互相关算法.该算法利用自相关算法思想和相关代数知识消除了其复乘运算，再利用基于蒙特卡罗仿真的解相位模糊算法解决了其相位模糊问题，从而适应大频偏下的短突发通信环境.最后仿真结果表明，与经典的MM、AC和Giugno时域算法相比，在保证了较大估计范围的同时，该算法具有更高的估计精度和更低的复杂度，适用于低时延高可靠的短数据包传输.

Abstract

Considering the phase ambiguity problem of frequency offset estimation existed in the short-burst communication

this paper proposes a wide-range low-complexity time-domain correlation frequency offset estimation algorithm-phase-unwrapping based partial cross-correlation algorithm. This algorithm uses the idea of the autocorrelation algorithm and knowledge of the algebra to eliminate its complex multiplication operation

and then utilizes a Monte-Carlo simulation based phase-unwrapping algorithm to solve the problem of phase ambiguity

thus suitable for the short burst communication environment with large frequency offsets. Simulation results show that when maintaining large estimation range

the proposed algorithm also exhibits both higher accuracy and lower complexity than the classical MM

and Giugno algorithms

thus suitable for low-latency high-reliability short packet transmission.

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