[1]白彧,杨晓静,王懋.基于相关滤波和哈达玛变换的帧同步码识别[J].探测与控制学报,2011,(03):69.
 BAI Yu,YANG Xiaojing,WANG Mao.Recognition Method of Frame Synchronization Codes Based on Relativity Filter and Hadamard Transformation Algorithm[J].,2011,(03):69.
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基于相关滤波和哈达玛变换的帧同步码识别()
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《探测与控制学报》[ISSN:1008-1194/CN:61-1316/TJ]

卷:
期数:
2011年03期
页码:
69
栏目:
出版日期:
2011-06-26

文章信息/Info

Title:
Recognition Method of Frame Synchronization Codes Based on Relativity Filter and Hadamard Transformation Algorithm
文章编号:
1008-1194(2011)03-0069-04
作者:
白彧杨晓静王懋
解放军电子工程学院,安徽 合肥230037
Author(s):
BAI YuYANG XiaojingWANG Mao
Electronic Engineering Institute,Hefei 230037,China
关键词:
相关滤波哈达玛变换帧同步码识别信息对抗侦察
Keywords:
relativity filteringhadamard transformationframe synchronization codesrecognitioninformation countermeasure reconnaissance
分类号:
TN911
文献标志码:
A
摘要:
为从侦收到的信息中得到帧同步码,提出了基于相关滤波及哈达玛变换的识别方法。该方法先利用二次相关滤波区分信息码和帧同步码,然后利用哈达玛变换压缩数据处理量识别出帧长,最后通过模糊匹配法进一步识别出同步码的同步起始位和码型。仿真结果表明:在较高误码率的影响下,该方法可以利用较少的数据量快速准确地建立帧同步,并具有较好的识别效果。
Abstract:
In order to recognize the frame synchronization codes of obtained information,a recognition method based on relativity filtering and Hadamard transformation algorithm was proposed in this paper.At first, using twice relativity filtering to distinguish the information codes from frame synchronization codes,then, the frame length was recognized by using Hadamard transformation in order to compress the amount of data.Finally,the fuzzy matching algorithm made further recognition to judge the initial point and style of synchronization code.Under the condition of high BER,the simulation results showed the method could set up the frame synchronization quickly and exactly by using less data,and had a better recognition effect.

参考文献/References:

[1]樊昌信,曹丽娜.通信原理[M].北京:国防工业出版社,2006.
[2]Kopansky A,Bystrom M.Detection of a periodically embedded synchronization patterns on rayleigh fading channels[J].IEEE Trans Commun,2006,54(11):1 928-1 932.
[3]Chiani M,Martini M G.Practical frame synchronization for data with unknown distribution on AWGN channels[J].IEEE Communications Letters,2005,9(5):456-458.
[4]Chiani M,Martini M G.On sequential frame synchronization in AWGN channels[J].IEEE Trans Commun,2006,54(2):339-348.
[5]夏晓巍,方旭明.帧同步技术的研究与展望[J].信息安全与通信保密,2006(7):140-143.
XIA Xiaowei,FANG Xuming.Study and prospect for frame synchronization technology[J].Information Security and Communications Privacy, 2006(7):140-143.
[6]孙即祥.图像处理[M].北京:科学出版社,2009.
[7]付京荪.模式识别及应用[M].北京:科学出版社,2005.
[8]秦万广,杨帆.模糊神经网络在指纹与手形信息融合技术中的应用[J].微计算机信息,2007,9(1):277-278.
QIN Wanguang,YANG Fan.The application of fuzzy nerve net in fusion technology of information from fingerprints and the shape of hand[J].Microcomputer Information,2007,9(1):277-278.
[9]吴小俊,张媛媛,王士同.改进的模糊神经网络及其在人脸识别中的应用[J].微纳电子技术,2007,7(8):465-469.
WU Xiaojun,ZHANG Yuanyuan,WANG Shitong.Improved fuzzy neural network and Its application to face recognition[J].Micronanoelectronic Technology,2007,7(8):465-469.

相似文献/References:

[1]邵堃,雷迎科.基于相关滤波和离散度分析的帧同步识别[J].探测与控制学报,2019,41(04):78.[doi:.]
 SHAO Kun,LEI Yingke.Frame Synchronization Recognition Based on Relativity Filter and Dispersion Analysis[J].,2019,41(03):78.[doi:.]

备注/Memo

备注/Memo:
*收稿日期:2011-01-17        修回日期:2011-03-21
作者简介:白彧(1986-),男,江西贵溪人,硕士研究生,研究方向:信息分析。E-mail:bytom@21cn.com
更新日期/Last Update: 2011-07-12