[1]魏安全,沈连丰,宋铁成.基于FRESH滤波器的DSSS系统窄带干扰抑制技术[J].东南大学学报(自然科学版),2009,39(3):419-425.[doi:10.3969/j.issn.1001-0505.2009.03.001]
　Wei Anquan,Shen Lianfeng,Song Tiecheng.NBI suppression technique of DSSS systems based on FRESH filter[J].Journal of Southeast University (Natural Science Edition),2009,39(3):419-425.[doi:10.3969/j.issn.1001-0505.2009.03.001]
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基于FRESH滤波器的DSSS系统窄带干扰抑制技术()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
39
期数:
2009年第3期
页码:
419-425
栏目:
信息与通信工程
出版日期:
2009-05-20

文章信息/Info

Title:
NBI suppression technique of DSSS systems based on FRESH filter
作者:
魏安全1; 2;  沈连丰1;  宋铁成1
1 东南大学移动通信国家重点实验室, 南京 210096; 2 解放军理工大学通信工程学院, 南京 210007
Author(s):
Wei Anquan1; 2;  Shen Lianfeng1;  Song Tiecheng1
1 National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
2 Institute of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China
关键词:
循环平稳;  频移滤波器;  直接序列扩频;  干扰抑制
Keywords:
cyclostationary;  frequency-shift filter;  direct sequence spread spectrum;  interference suppression
分类号:
TN911.7
DOI:
10.3969/j.issn.1001-0505.2009.03.001
摘要:
为了减小基于时域线性预测干扰估计的DSSS系统窄带干扰抑制技术对有用信号产生的损伤,根据干扰环境下接收信号的循环平稳特性,提出了一种利用频移滤波器对干扰进行估计并将干扰抵消的DSSS系统窄带干扰抑制方法.该方法在对干扰进行估计时,既利用了干扰的时域相关性,又利用了干扰的频域相关性.理论分析和仿真结果表明,在强干扰环境下,接收信号的循环平稳性主要由强干扰决定.与传统时域线性预测方法相比,该方法对干扰估计的时平均均方误差更小,能够更精确地估计和消除频谱相关的干扰,减轻对有用信号的损伤,进一步降低系统的误比特率,因而具有更加优良的干扰抑制性能,特别在干扰较强或干扰频带较宽时,优势更加明显.
Abstract:
To mitigate the impairment to the desired signal caused by the conventional narrow-band interference(NBI)suppression technique based on interference estimations by linear predictions in time domain in direct sequence spread spectrum(DSSS)systems, an approach of suppressing NBI in DSSS systems using a frequency-shift(FRESH)filter to estimate the NBI is proposed based on the cyclostationary characteristics of the received signal in the environment of the interference, which can use the correlation of the interference not only in time domain but also in frequency domain for the interference estimation. The results from theoretical analysis and simulations indicate that the cyclostationary characteristics of the strong interference in the received signal is exhibited mainly in the environment of the strong interference. Compared with the traditional techniques based on linear predictions in time domain, smaller time average-mean square errors can be achieved, the spectrum-correlated interference can be estimated and eliminated more exactly, and the impairment to the desired signal is mitigated. The bit error rate of the system is reduced further, so better interference suppression performance can be achieved. The advantage is more evident especially when the interference is stronger or the frequency band of the interference is wider.

参考文献/References:

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相似文献/References:

[1]刘云,郭洁,叶芝慧,等.频谱重叠信号分离的循环平稳算法[J].东南大学学报(自然科学版),2005,35(3):333.[doi:10.3969/j.issn.1001-0505.2005.03.003]
　Liu Yun,Guo Jie,Ye Zhihui,et al.Separating cyclostationary signals from spectrally overlapping interference[J].Journal of Southeast University (Natural Science Edition),2005,35(3):333.[doi:10.3969/j.issn.1001-0505.2005.03.003]

备注/Memo

备注/Memo:
作者简介: 魏安全(1968—),男,博士生; 沈连丰(联系人),男,教授,博士生导师,lfshen@seu.edu.cn.
基金项目: 国家重点基础研究发展计划(973计划)资助项目(2007CB310606)、国家高技术研究发展计划(863计划)资助项目(2008AA01Z205)、国家自然科学基金资助项目(60872004)、东南大学移动通信国家重点实验室自主研究课题资助项目(2008A08)、东南大学移动通信国家重点实验室自由探索资助项目(2008B05b).
引文格式: 魏安全,沈连丰,宋铁成.基于FRESH滤波器的DSSS系统窄带干扰抑制技术[J].东南大学学报:自然科学版,2009,39(3):419-425. [doi:10.3969/j.issn.1001-0505.2009.03.001]
更新日期/Last Update: 2009-05-20