电子学报 ›› 2022, Vol. 50 ›› Issue (3): 524-532.DOI: 10.12263/DZXB.20200716

• 学术论文 • 上一篇    下一篇

一种基于双图案的卫星信号能量检测粗同步方法

何其恢, 朱立东   

  1. 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
  • 收稿日期:2020-07-14 修回日期:2021-02-10 出版日期:2022-03-25 发布日期:2022-03-25
  • 作者简介:何其恢 男,1996年生于甘肃嘉峪关. 现为电子科技大学通信抗干扰技术国家级重点实验室硕士研究生.主要研究方向为卫星通信信号处理、信号抗干扰抗截获技术.E-mail:hheeqihui@126.com
    朱立东 男,1968年生于四川邻水.现为电子科技大学教授、博士生导师.主要研究方向为卫星通信信号处理、信道建模与仿真、资源管理等.
  • 基金资助:
    国家自然科学基金(61871422)

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

HE Qi-hui, ZHU Li-dong   

  1. National Key Laboratory of Science and Technology on Communications,University of Electronic Science and Technology of China,Chengdu,Sichuan 611731,China
  • Received:2020-07-14 Revised:2021-02-10 Online:2022-03-25 Published:2022-03-25

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.

关键词: 双图案, 能量检测, 粗同步, 低复杂度

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.

Key words: double pattern, energy detection, coarse synchronization, low complexity

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