Blind period estimation of PN sequence for M-ary spread spectrum signals

Li Junwei; Zhang Tianqi; Pan Yi; Deng Ling

doi:10.13756/j.gtxyj.2013.05.018

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Blind period estimation of PN sequence for M-ary spread spectrum signals

- Blind period estimation of PN sequence for M-ary spread spectrum signals
- Study on Optical communication Issue 5, Pages: 53-56(2013)
- 作者机构：
  
  重庆邮电大学信号与信息处理重庆市重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2013.05.018
  CLC： TN914.42
- Published：2013，
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[1]李军伟,张天骐,潘毅,邓灵.多进制扩频信号的伪码周期盲估计[J].光通信研究,2013(05):53-56.

Li Junwei, Zhang Tianqi, Pan Yi, et al. Blind period estimation of PN sequence for M-ary spread spectrum signals. [J]. (5):53-56(2013)
[1]李军伟,张天骐,潘毅,邓灵.多进制扩频信号的伪码周期盲估计[J].光通信研究,2013(05):53-56. DOI： 10.13756/j.gtxyj.2013.05.018.

Li Junwei, Zhang Tianqi, Pan Yi, et al. Blind period estimation of PN sequence for M-ary spread spectrum signals. [J]. (5):53-56(2013) DOI： 10.13756/j.gtxyj.2013.05.018.

摘要

针对低信噪比条件下多进制扩频信号伪码周期检测与估计的问题

提出了一种基于多进制扩频信号功率谱二次处理的新方法。该方法首先对多进制扩频信号求取功率谱

接着将所得到的功率谱作为输入信号再求其功率谱

所得到的二次功率谱将在伪码周期整数倍处出现尖锐的脉冲

通过检测这些尖锐脉冲间的距离就可以估计出多进制扩频系统的伪码周期。理论分析和计算机仿真表明

该方法可以有效地估计出多进制扩频信号的伪码周期

且每条伪码传输的信息比特数越少

算法的估计性能就越好。

Abstract

In this paper

a new method based on the reprocessing of power spectrum density is proposed to detect and estimate the PN sequence period of the M-ary spread spectrum signals in low SNR.In this method

the power spectrum of the received signals is first acquired and taken as input signals

their power spectrum is acquired again.Pointed impulses will emerge at the position of integer times of PN sequence period and the PN sequence period of the M-ary spread spectrum system can be estimated by detecting the intervals of these impulses.Theoretical analysis and computer simulation results show that this method can effectively estimate the PN sequence period and the less the information bits transmitted by each PN sequence

the better the estimation performance.

关键词

信噪比多进制扩频功率谱二次处理伪码周期

Keywords

SNRM-ary spread spectrumpower spectrum reprocessingPN sequence period

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