Double Pattern Based Coarse Synchronization Method Using Energy Detection for Satellite Signal

HE Qi-hui; ZHU Li-dong

doi:10.12263/DZXB.20200716

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Double Pattern Based Coarse Synchronization Method Using Energy Detection for Satellite Signal

PAPERS | 更新时间：2025-12-11

- Double Pattern Based Coarse Synchronization Method Using Energy Detection for Satellite Signal
- ACTA ELECTRONICA SINICA Vol. 50, Issue 3, Pages: 524-532(2022)
- 作者机构：
  
  电子科技大学通信抗干扰技术国家级重点实验室，四川成都 611731
- 作者简介：
- 基金信息：
- DOI：10.12263/DZXB.20200716
  CLC： TN914.43
- Received：14 July 2020，
  
  Revised：2021-02-10，
  
  Published：25 March 2022
- 稿件说明：
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何其恢,朱立东.一种基于双图案的卫星信号能量检测粗同步方法[J].电子学报,2022,50(03):524-532.

HE Qi-hui,ZHU Li-dong.Double Pattern Based Coarse Synchronization Method Using Energy Detection for Satellite Signal[J].ACTA ELECTRONICA SINICA,2022,50(03):524-532.
何其恢,朱立东.一种基于双图案的卫星信号能量检测粗同步方法[J].电子学报,2022,50(03):524-532. DOI： 10.12263/DZXB.20200716.

HE Qi-hui,ZHU Li-dong.Double Pattern Based Coarse Synchronization Method Using Energy Detection for Satellite Signal[J].ACTA ELECTRONICA SINICA,2022,50(03):524-532. DOI： 10.12263/DZXB.20200716.

摘要

PMF-FFT(Partial Matched Filters-Fast Fourier Transform)算法具有优秀的同步性能，但需要采用较短的搜索步长来保证其性能.在卫星通信环境下，很难在功率和处理能力受限的情况下使用这样的算法进行信号检测.本文提出了一种基于跳频和跳码扩频双图案的能量检测算法，该算法能够以符号周期为步长进行搜索.本文分析了这种同步方法的性能，确定了最佳参数并进行了蒙特卡洛仿真.将该算法性能和复杂度与一些其他的算法进行对比，证明了使用该算法作为粗同步算法，PMF-FFT算法作为精同步算法组成同步机制时，能够大幅降低运算量并维持PMF-FFT算法的良好同步性能.

Abstract

The PMF-FFT(Partial Matched Filters-Fast Fourier Transform) algorithm has excellent synchronization performance and a short search step size is required to ensure its performance. In satellite communications

it is difficult to use such an algorithm for long time signal detection with limited power and processing ablities. In this paper

an energy detection algorithm based on double pattern with frequency hopping and code hopping spread spectrum is proposed

which can search with the symbol period as the step. We analyze the synchronization performance of this method

and determine the best parameters and perform Monte Carlo simulation. By comparing performance and complexity of this algorithm with some other algorithms

it is proved that when this algorithm is used as the coarse synchronization and the PMF-FFT algorithm is used as the fine synchronization to form the synchronization mechanism

the complexity can be reduce greatly and the synchronization performance of the PMF-FFT algorithm can be maintained good.

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references

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