低复杂度高动态低信噪比环境下的GPS信号捕获算法

熊竹林; 刘策伦; 安建平; 谢泽彬

doi:10.11959/j.issn.1000-436x.2015080

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低复杂度高动态低信噪比环境下的GPS信号捕获算法

学术论文 | 更新时间：2024-06-05

- 低复杂度高动态低信噪比环境下的GPS信号捕获算法
- Low complexity acquisition algorithm for GPS signals with low SNR and high dynamic
- 通信学报 2015年36卷第3期页码：240-245
- 作者机构：
  
  北京理工大学信息与电子学院，北京 100081
- 作者简介：
  
  [ "熊竹林（1988-），男，山东菏泽人，北京理工大学博士生，主要研究方向为卫星导航、扩频通信等。" ]
  [ "刘策伦（1983-），男，湖南娄底人，北京理工大学讲师，主要研究方向为卫星导航、扩频通信等。" ]
  [ "安建平（1965-），男，山西原平人，北京理工大学教授、博士生导师，主要研究方向为卫星通信、深空通信、超宽带通信等。" ]
  [ "谢泽彬（1988-），男，广东广州人，北京理工大学硕士生，主要研究方向为卫星导航、扩频通信等。" ]
- 基金信息：
  
  国家高技术发展计划（“863”计划）基金资助项目(2012AA01A505);国家自然科学基金资助项目(61271258)
- DOI：10.11959/j.issn.1000-436x.2015080
  中图分类号： P228.4
- 网络出版日期：2015-03，
  
  纸质出版日期：2015-03-25
- 稿件说明：
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熊竹林, 刘策伦, 安建平, 等. 低复杂度高动态低信噪比环境下的GPS信号捕获算法[J]. 通信学报, 2015,36(3):240-245.

Zhu-lin XIONG, Ce-lun LIU, Jian-ping AN, et al. Low complexity acquisition algorithm for GPS signals with low SNR and high dynamic[J]. Journal of communications, 2015, 36(3): 240-245.
熊竹林, 刘策伦, 安建平, 等. 低复杂度高动态低信噪比环境下的GPS信号捕获算法[J]. 通信学报, 2015,36(3):240-245. DOI： 10.11959/j.issn.1000-436x.2015080.

Zhu-lin XIONG, Ce-lun LIU, Jian-ping AN, et al. Low complexity acquisition algorithm for GPS signals with low SNR and high dynamic[J]. Journal of communications, 2015, 36(3): 240-245. DOI： 10.11959/j.issn.1000-436x.2015080.

摘要

针对高动态低信噪比环境下的GPS信号捕获问题，提出一种频域分段移位平均周期图算法。首先，对接收信号进行频率斜升和码相位二维并行粗补偿并对各补偿支路进行分段快速傅里叶变换；其次，根据参与捕获的有效数据段长度将频域补偿间隔扩展为更为精细的估计间隔；然后，找到与各参数估计值最接近的补偿支路，根据估计值与实际补偿值之间差值对各数据段的频谱进行旋转移位，并将移位之后的频谱进行非相干累加以得到各估计值所对应的相关峰；最后，对相关峰的峰值进行恒虚警检测以确定捕获是否成功。仿真结果表明，与平均周期图算法相比，所提算法捕获性能略有下降，但计算复杂度大幅降低。

Abstract

A frequency-domain segmental shift average periodogram acquisition algorithm for GPS signals with low SNR and high dynamic was proposed. First

the parallel rough compensation of Doppler frequency rate and C/A code phase as well as segmental FFT was applied with the received signal. Second

the compensation interval was extended to precise estimation interval based on the number of data segments. Third

the branch with the nearest compensation value was chosen as the estimation branch of each estimation value and the difference of two values was reduced by segmental fre-quency spectrum shift. The correlation value of each estimation branch was obtained by non-coherent accumulation of all shifted frequency spectrums. Last

the maximum correlation value was sent to a constant false alarm rate detector to de-termine whether the acquisition was success. The results show that compared with the traditional periodogram algorithm

the proposed algorithm has much lower computational complexity and a little performance loss.

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references

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