低信噪比下非周期性直扩信号的盲估计

王满喜; 李宏; 马刈非; 陶业荣

doi:10.3969/j.issn.1001-0548.2009.02.05

低信噪比下非周期性直扩信号的盲估计

1.
解放军理工大学通信工程学院南京 210007;
2.
63880部队洛阳 471003

基金项目:

部级预研基金

详细信息

作者简介:
王满喜(1979-)，男，博士生，主要从事通信工程、通信对抗方面的研究.

中图分类号: TN911.7
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出版历程
- 收稿日期: 2008-08-27
- 修回日期: 2008-11-05
- 刊出日期: 2009-04-14

Blind Estimation of Lower SNR Aperiodic DS Signals

1.
Institute of Communication Engineering,PLAUST Nanjing 210007;
2.
Unit 63880 Luoyang 471003

摘要

摘要: 为解决低信噪比下非周期性直扩信号PN码序列的盲估计难题，提出了以两倍信息码元宽度为分段长度的分段矩阵特征分解法(SEVD)对PN码序列进行初步估计，然后对得到的各段估计序列进行拼接，再通过基于最优移位相加特性的信息码剥离算法得到原始PN码序列的盲估计方法，该方法采用并行处理以提高运算速度，并具有无需事先提取同步信息、能够消除“反码”现象的优点。仿真结果表明该方法能够在信噪比大于?17 dB条件下对扩频码码长为1 023的m序列的非周期性直扩信号做到无误码盲估计。
- 非周期性 /
- 盲估计 /
- 直扩 /
- 移位相加
Abstract: A blind estimation method for pseudo noise (PN) sequence estimation of aperiodic direct sequence spread spectrum (DS) signals under condition of lower signal noise ratio (SNR) is presented. The proposed method estimates the PN sequence with segmented matrix eigenvalue decomposition (SEVD) method whose segment length equals double information bits,and then shells off the random information bits from the estimated sequences to obtain the original PN sequence based on the optimal shift-and-add property. The method accelerates the computation speed by applying parallel computing without need of prior synchronization information,and it can sweep off the “code blurring” phenomena. Simulation results show that the aperiodic DS signal with m sequence period 1 023 can be estimated without any errors as long as the SNR is above ?17 dB.
- aperiodic /
- sblind estimation /
- direct sequence spread spectrum /
- hift-and-add