Article(id=1242133956506755418, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242133928572690679, articleNumber=null, orderNo=18, doi=10.3981/j.issn.1000-7857.2015.19.013, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1417536000000, receivedDateStr=2014-12-03, revisedDate=1433865600000, revisedDateStr=2015-06-10, acceptedDate=null, acceptedDateStr=null, onlineDate=1444992619947, onlineDateStr=2015-10-16, pubDate=1444665600000, pubDateStr=2015-10-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1444992619947, onlineIssueDateStr=2015-10-16, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774077412961, creator=sys-migrate, updateTime=1774077412961, updator=sys-migrate, issue=Issue{id=1242133928572690679, tenantId=1146029695717560320, journalId=1146031591421210625, year='2015', volume='33', issue='19', pageStart='1', pageEnd='112', issueExtLink='null', onlineDate='null', pubDate='1444665600000', pubDateStr='2015-10-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774077406301, creator='sys-migrate', updateTime=1774077406301, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=78, endPage=83, ext={EN=ArticleExt(id=1242133960562647420, articleId=1242133956506755418, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Jamming jam method based on covariance matrix, columnId=1242116080374710456, journalTitle=Science & Technology Review, columnName=Articles, runingTitle=null, highlight=null, articleAbstract=The jamming jam method (JJM) uses the previous information of the interference to construct a matrix to cancel the interference. However, in the scenario that the signal is embedded in the interference, signal detection is a very difficult problem because the signal will be severely attenuated in interference cancellation. A jamming jam method based on covariance matrix is proposed to deal with this problem. The proposed method will get the Toeplitz averaged covariance matrix from the covariance matrix of the receiving signal, and then uses the Toeplitz averaged covariance matrix to frame the block matrix. The features of the covariance matrix are used to realize the jamming jam method. The proposed method weakens signal attenuation caused by interference suppression which is beneficial to detect the signal. Theoretical analysis and computer simulation show that compared to the JJM, the modified algorithm can effectively cancel interference and reduce signal attenuation., authors=GE Shibin1,2 , YU Huabing1 , CHEN Xinhua1 , SUN Changyu1 , authorsList=GE Shibin, YU Huabing, CHEN Xinhua, SUN Changyu, authorCompany=1. Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China;1,2 , 余华兵1 , 陈新华1 , 孙长瑜1 , authorsList=葛士斌, 余华兵, 陈新华, 孙长瑜, authorCompany=1. 中国科学院声学研究所, 北京 100190;
科技导报
| 研究论文 2015, 33(19): 78-83
基于协方差矩阵的干扰阻塞算法
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葛士斌1,2 , 余华兵1 , 陈新华1 , 孙长瑜1
作者信息
1. 中国科学院声学研究所, 北京 100190;
Jamming jam method based on covariance matrix
Affiliations
出版时间: 2015-10-13
doi: 10.3981/j.issn.1000-7857.2015.19.013
文章导航
为解决干扰阻塞算法对阵列接收信号构造阻塞矩阵进行干扰抵消后,位于干扰附近的信号会受到严重衰减而无法进一步检测的问题,提出一种基于协方差矩阵的干扰阻塞算法。针对阵列接收信号的协方差矩阵构造阻塞矩阵,利用协方差矩阵的特点实现干扰阻塞算法,减弱因干扰抵消而造成的信号衰减,利于信号的进一步检测。理论分析和计算机仿真结果表明,相对于干扰阻塞算法,基于协方差矩阵的干扰阻塞算法在信号和干扰相距较近时能有效抵消干扰同时减少对目标信号的衰减。
阵列信号处理
/
干扰抵消
/
干扰阻塞算法
/
协方差矩阵
The jamming jam method (JJM) uses the previous information of the interference to construct a matrix to cancel the interference. However, in the scenario that the signal is embedded in the interference, signal detection is a very difficult problem because the signal will be severely attenuated in interference cancellation. A jamming jam method based on covariance matrix is proposed to deal with this problem. The proposed method will get the Toeplitz averaged covariance matrix from the covariance matrix of the receiving signal, and then uses the Toeplitz averaged covariance matrix to frame the block matrix. The features of the covariance matrix are used to realize the jamming jam method. The proposed method weakens signal attenuation caused by interference suppression which is beneficial to detect the signal. Theoretical analysis and computer simulation show that compared to the JJM, the modified algorithm can effectively cancel interference and reduce signal attenuation.
array signal processing
/
interference cancellation
/
jamming jam method
/
covariance matrix
葛士斌, 余华兵, 陈新华, 孙长瑜.
基于协方差矩阵的干扰阻塞算法.
科技导报,
2015
, 33
(19)
: 78
-83
.
DOI: 10.3981/j.issn.1000-7857.2015.19.013
GE Shibin, YU Huabing, CHEN Xinhua, SUN Changyu.
Jamming jam method based on covariance matrix[J].
Science & Technology Review ,
2015
, 33
(19)
: 78
-83
.
DOI: 10.3981/j.issn.1000-7857.2015.19.013
2015年第33卷第19期
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文章信息
doi: 10.3981/j.issn.1000-7857.2015.19.013
接收时间：2014-12-03
首发时间：2015-10-16
出版时间：2015-10-13
收稿日期：2014-12-03
修回日期：2015-06-10
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2015.19.013
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