Study on GPS Cross Correlation Mitigation Techniques in High Sensitivity GPS Receivers

LIANG Kun; WANG Jian; SHI Hu-li

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Study on GPS Cross Correlation Mitigation Techniques in High Sensitivity GPS Receivers

更新时间：2025-07-16

- Study on GPS Cross Correlation Mitigation Techniques in High Sensitivity GPS Receivers
- Acta Electronica Sinica Vol. 36, Issue 6, Pages: 1098-1102(2008)
- 作者机构：
  
  1. 中国计量科学研究院,北京,100013
  2. 北京交通大学电子信息工程学院,北京,100044
  3. 中国科学院国家天文台,北京,100012
  4. 中国计量科学研究院北京,100013
  5. 北京交通大学电子信息工程学院北京,100044
  6. 中国科学院国家天文台北京,100012
- 作者简介：
- 基金信息：
- DOI：
  CLC： V557
- Published：2008
- 稿件说明：
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LIANG Kun, WANG Jian, SHI Hu-li. Study on GPS Cross Correlation Mitigation Techniques in High Sensitivity GPS Receivers[J]. Acta Electronica Sinica, 2008, 36(6): 1098-1102.
DOI：

LIANG Kun, WANG Jian, SHI Hu-li. Study on GPS Cross Correlation Mitigation Techniques in High Sensitivity GPS Receivers[J]. Acta Electronica Sinica, 2008, 36(6): 1098-1102. DOI：

摘要

通过理论分析

推导出了基于频差因子的互相关计算公式

提出了两种新的互相关减轻算法——并行互相关减去法和基于频差因子的并行互相关减去法.通过仿真实验

在一定多普勒频差下

1到3个干扰强信号、强度强于弱信号16dB到30dB时

两种方法对高灵敏度GPS接收机中互相关影响的减轻都有良好的效果和更强的实用性;基于频差的并行互相关减去法在计算量方面优势更大

可以加快高灵敏度GPS接收机的捕获速度

使其在接收强度较弱、信噪比很低的GPS信号时能正常工作.

Abstract

In terms of the theoretical analysis

the cross correlation computation formula based on frequency difference coefficient was deduced

and two new cross correlation mitigation methods

called the parallel cross correlation subtraction and the parallel cross correlation subtraction based on frequency difference coefficient were addressed.By the tests in which one to three strong interference signals with the intensity of 16 to 30dB were simulated

the effects of the two cross correlation mitigation methods in high sensitivity GPS receivers were good and the practicality of them was higher.The parallel cross correlation subtraction method based on frequency difference coefficient had much advantage on computation quantity

and was able to accelerate the signal acquiring speed of high sensitivity receivers and make the receivers work well when receiving signals with much weaker intensity and lower signal noise ratio.

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