Simplified Diagonal Cross Correlation Frequency Estimation Algorithm Based on Phase Un-wrapping Method

doi:10.3969/j.issn.0372-2112.2016.08.029

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Simplified Diagonal Cross Correlation Frequency Estimation Algorithm Based on Phase Un-wrapping Method

更新时间：2025-07-08

- Simplified Diagonal Cross Correlation Frequency Estimation Algorithm Based on Phase Un-wrapping Method
- Acta Electronica Sinica Vol. 44, Issue 8, Pages: 1974-1980(2016)
- 作者机构：
  
  西安电子科技大学综合业务网理论及关键技术国家重点实验室,陕西,西安,710071
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.60902039, No.61271175);Fundamental Research Funds for the Central Universities (No.JB140114, No.K5051201043);China Scholarship Council
- DOI：10.3969/j.issn.0372-2112.2016.08.029
  CLC： TN911.23
- Published：2016
- 稿件说明：
移动端阅览
Simplified Diagonal Cross Correlation Frequency Estimation Algorithm Based on Phase Un-wrapping Method[J]. Acta Electronica Sinica, 2016, 44(8): 1974-1980.
DOI：

Simplified Diagonal Cross Correlation Frequency Estimation Algorithm Based on Phase Un-wrapping Method[J]. Acta Electronica Sinica, 2016, 44(8): 1974-1980. DOI： 10.3969/j.issn.0372-2112.2016.08.029.

摘要

针对导频符号辅助调制（Pilot-Symbol-Assisted-Modulation，PSAM）的短突发信号载波同步，提出了一种基于相位解模糊的简化对角互相关（Phase Un-Wrapping Simplified Diagonal Cross Correlation，PUW-SDCC）算法.其基本思想是，首先借鉴自相关估计的思想设计出对角互相关（Diagonal Cross Correlation，DCC）算法，然后再利用复信号指数化的近似获得了简化DCC（SDCC）算法，最后将该简化算法应用到基于Monte-Carlo仿真的解相位模糊（PUW）方法中，得到了可适应大频偏的SDCC（PUW-SDCC）算法.仿真表明，与现有的频偏估计算法相比，该算法的归一化估计频偏可以达到符号速率的一半，并具有更高的估计精度和适中的复杂度，更适用于短突发通信.

Abstract

For the pilot-symbol-assisted-modulation (PSAM) short burst carrier synchronization

wepropose a simplified diagonal cross correlation carrier estimation algorithm based on phase un-wrapping method (PUW-SDCC).First according to the idea of the autocorrelation estimation

a diagonal cross correlation (DCC) algorithm is designed

and then a simplified DCC algorithm is derived by employing the exponent approximation of a complex signal.Finally

a PUW-SDCC algorithm is obtained by combining several phase un-wrapping (PUW) methods which are based on Monte-Carlo simulation.Simulation results show that the proposed algorithm achieves an estimation range at half of the data rate and has both higher accuracy and adequate complexity compared with those available

and more suitable for short burst communication.

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