非周期长码直扩信号的伪随机码盲估计

赵知劲; 顾骁炜; 沈雷; 詹毅

doi:10.11959/j.issn.1000-436x.2015121

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非周期长码直扩信号的伪随机码盲估计

学术论文 | 更新时间：2024-06-05

- 非周期长码直扩信号的伪随机码盲估计
- Blind estimation of pseudo-random codes in non-periodic long code direct-sequence spread-spectrum signals
- 通信学报 2015年36卷第5期页码：23-30
- 作者机构：
  
  1. 杭州电子科技大学浙江省数据存储传输及应用技术研究重点实验室，浙江杭州 310018
  2. 中国电子科技集团第36研究所通信系统信息控制技术国家级重点实验室，浙江嘉兴 314001
- 作者简介：
  
  [ "赵知劲（1959-），女，浙江宁波人，杭州电子科技大学教授、博士生导师，主要研究方向为通信信号处理。" ]
  [ "顾骁炜（1990-），男，浙江杭州人，杭州电子科技大学硕士生，主要研究方向为直扩信号盲参数估计等。" ]
  [ "沈雷（1979-），男，浙江舟山人，杭州电子科技大学副教授、硕士生导师，主要研究方向为信号检测、信号盲分离。" ]
  [ "詹毅（1967-），男，河南洛阳人，中国电子科技集团第36研究所研究员，主要研究方向为通信信号处理。" ]
- 基金信息：
  
  国家自然科学基金资助项目(60972049);国家自然科学基金资助项目(61401133);浙江省自然科学基金资助项目(LY13F010019)
- DOI：10.11959/j.issn.1000-436x.2015121
  中图分类号： TN91
- 网络出版日期：2015-05，
  
  纸质出版日期：2015-05-25
- 稿件说明：
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赵知劲, 顾骁炜, 沈雷, 等. 非周期长码直扩信号的伪随机码盲估计[J]. 通信学报, 2015,36(5):23-30.

HAOZhi-jin Z, UXiao-wei G, HENLei S, et al. Blind estimation of pseudo-random codes in non-periodic long code direct-sequence spread-spectrum signals[J]. Journal on communications, 2015, 36(5): 23-30.
赵知劲, 顾骁炜, 沈雷, 等. 非周期长码直扩信号的伪随机码盲估计[J]. 通信学报, 2015,36(5):23-30. DOI： 10.11959/j.issn.1000-436x.2015121.

HAOZhi-jin Z, UXiao-wei G, HENLei S, et al. Blind estimation of pseudo-random codes in non-periodic long code direct-sequence spread-spectrum signals[J]. Journal on communications, 2015, 36(5): 23-30. DOI： 10.11959/j.issn.1000-436x.2015121.

摘要

研究了 m 序列三阶相关函数特性，证明了不同周期 m 序列三阶相关函数存在共同峰，推导得到共同峰的特性以及共同峰坐标与m序列本原多项式之间对应关系，基于上述理论提出了非合作通信下的非周期长码直扩信号伪随机码估计方法。加性高斯白噪声下的仿真结果表明，本方法仅需1/4倍长码周期长度信号和4 dB信噪比，估计非周期长码直扩信号的扩频码和长扰码的正确概率就可达到99%以上。

Abstract

The existence of common peaks in triple correlation functions of different m-sequences is proven based on the detail study of the characteristics of triple correlation functions of m-sequences

the features of common peaks and the direct relationship between common peak coordinates and the primitive polynomials of m-sequences are deduced.An es-timation algorithm of pseudo-random (PN) codes in non-periodic long code direct-sequence spread-spectrum (NPLC-DSSS) signals is proposed based on the above theories.Simulations under additive white Gaussian noise show that the probability of spreading code and scrambling code being both correctly estimated can reach 99% when the signal with a quarter of the cycle length of the long PN code is used only and the signal-to-noise ratio is greater than 4dB.

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references

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