基于神经网络的低信噪比CBOC信号组合码序列盲估计
TN911.7; 针对低信噪比下复合二进制偏移载波(composite binary offset carrier,CBOC)信号的组合码序列盲估计问题.首先采用奇异值分解(singular value decomposition,SVD)的算法对CBOC的组合码序列进行可行性验证,可得在已知相关参数的情况下对CBOC信号组合码序列盲估计是可行的;其次就SVD在长序列估计中计算量和存储量需求大的问题,进一步提出主分量神经网络解决上述问题,同时引入最优变步长收敛模型改善神经网络(neural network,NN)收敛速度.利用无监督NN的自适应主分量提取信号特性,避免批处理运算,实现CBOC信...
Saved in:
| Published in | 系统工程与电子技术 Vol. 40; no. 12; pp. 2824 - 2832 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
重庆邮电大学信号与信息处理重庆市重点实验室,重庆,400065
01.12.2018
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 1001-506X |
| DOI | 10.3969/j.issn.1001-506X.2018.12.29 |
Cover
| Abstract | TN911.7; 针对低信噪比下复合二进制偏移载波(composite binary offset carrier,CBOC)信号的组合码序列盲估计问题.首先采用奇异值分解(singular value decomposition,SVD)的算法对CBOC的组合码序列进行可行性验证,可得在已知相关参数的情况下对CBOC信号组合码序列盲估计是可行的;其次就SVD在长序列估计中计算量和存储量需求大的问题,进一步提出主分量神经网络解决上述问题,同时引入最优变步长收敛模型改善神经网络(neural network,NN)收敛速度.利用无监督NN的自适应主分量提取信号特性,避免批处理运算,实现CBOC信号组合码序列盲估计.实验表明,NN能在-20 dB下达到精确估计序列的目的,且算法有稳定性高、复杂度低、收敛速度快等优点. |
|---|---|
| AbstractList | TN911.7; 针对低信噪比下复合二进制偏移载波(composite binary offset carrier,CBOC)信号的组合码序列盲估计问题.首先采用奇异值分解(singular value decomposition,SVD)的算法对CBOC的组合码序列进行可行性验证,可得在已知相关参数的情况下对CBOC信号组合码序列盲估计是可行的;其次就SVD在长序列估计中计算量和存储量需求大的问题,进一步提出主分量神经网络解决上述问题,同时引入最优变步长收敛模型改善神经网络(neural network,NN)收敛速度.利用无监督NN的自适应主分量提取信号特性,避免批处理运算,实现CBOC信号组合码序列盲估计.实验表明,NN能在-20 dB下达到精确估计序列的目的,且算法有稳定性高、复杂度低、收敛速度快等优点. |
| Author | 赵亮 张婷 熊梅 张天骐 |
| AuthorAffiliation | 重庆邮电大学信号与信息处理重庆市重点实验室,重庆,400065 |
| AuthorAffiliation_xml | – name: 重庆邮电大学信号与信息处理重庆市重点实验室,重庆,400065 |
| Author_FL | XIONG Mei ZHANG Tianqi ZHANG Ting ZHAO Liang |
| Author_FL_xml | – sequence: 1 fullname: ZHANG Tianqi – sequence: 2 fullname: ZHANG Ting – sequence: 3 fullname: XIONG Mei – sequence: 4 fullname: ZHAO Liang |
| Author_xml | – sequence: 1 fullname: 张天骐 – sequence: 2 fullname: 张婷 – sequence: 3 fullname: 熊梅 – sequence: 4 fullname: 赵亮 |
| BookMark | eNo9j7tKA0EYhaeIYIx5Cjthx39mdvZS6uINAmkU7MLM7k7IIhtwFC-dkCJVEkEQL6gpbCxUbIRdgy-z6_gYGhSrw_mK83HmUCXtpjFCCwQw8x1_KcEdrVNMAIjFwdnBFIiHCcXUr6DqP55Fda07EjhhLgfXrqKgvMuKbGAebk0-NJMzk9-Yq14xGRQf4_Ly8fP5PFhpBtMyfDN5rxz1zf1pmQ3L_oW5fi3eX76exvNoRoldHdf_soa211a3gg2r0VzfDJYblibAwbJVGEmQ1BM2cQUwjzHXVtIJiYxpLHzmEcpjKoWvFHcc4FIqFstIOBHxQumxGlr83T0UqRJpu5V0D_bSH2PraL8dHkcniZ7eJhQYsG8WBmmA |
| ClassificationCodes | TN911.7 |
| ContentType | Journal Article |
| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| Copyright_xml | – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| DBID | 2B. 4A8 92I 93N PSX TCJ |
| DOI | 10.3969/j.issn.1001-506X.2018.12.29 |
| DatabaseName | Wanfang Data Journals - Hong Kong WANFANG Data Centre Wanfang Data Journals 万方数据期刊 - 香港版 China Online Journals (COJ) China Online Journals (COJ) |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| DocumentTitle_FL | Neural network approach to blind-estimation of combined code sequence in lower SNR CBOC signals |
| EndPage | 2832 |
| ExternalDocumentID | xtgcydzjs201812030 |
| GrantInformation_xml | – fundername: 国家自然科学基金; 重庆市教育委员会科研项目; 信号与信息处理重庆市市级重点实验室建设项目资助课题 funderid: (61371164,61671095); (KJ130524,KJ1600427,KJ1600429); (CSTC2009CA2003)资助课题 |
| GroupedDBID | -0Y 2B. 4A8 5XA 5XJ 92E 92I 93N ABJNI ACGFS ALMA_UNASSIGNED_HOLDINGS CCEZO CUBFJ CW9 PSX TCJ TGP U1G U5S |
| ID | FETCH-LOGICAL-s1050-4fcdb0b28a417a0383374fb6c1be2ea938125e2ba9ff56605bbf3ebda6d18cb83 |
| ISSN | 1001-506X |
| IngestDate | Thu May 29 04:00:30 EDT 2025 |
| IsPeerReviewed | false |
| IsScholarly | true |
| Issue | 12 |
| Keywords | 复合二进制偏移载波信号 组合码序列 奇异值分解 神经网络 |
| Language | Chinese |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-s1050-4fcdb0b28a417a0383374fb6c1be2ea938125e2ba9ff56605bbf3ebda6d18cb83 |
| PageCount | 9 |
| ParticipantIDs | wanfang_journals_xtgcydzjs201812030 |
| PublicationCentury | 2000 |
| PublicationDate | 2018-12-01 |
| PublicationDateYYYYMMDD | 2018-12-01 |
| PublicationDate_xml | – month: 12 year: 2018 text: 2018-12-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationTitle | 系统工程与电子技术 |
| PublicationTitle_FL | Systems Engineering and Electronics |
| PublicationYear | 2018 |
| Publisher | 重庆邮电大学信号与信息处理重庆市重点实验室,重庆,400065 |
| Publisher_xml | – name: 重庆邮电大学信号与信息处理重庆市重点实验室,重庆,400065 |
| SSID | ssib051375074 ssib002263377 ssib001102898 ssib057620160 ssib023168126 ssib023646287 ssj0042237 |
| Score | 2.2049773 |
| Snippet | TN911.7; 针对低信噪比下复合二进制偏移载波(composite binary offset carrier,CBOC)信号的组合码序列盲估计问题.首先采用奇异值分解(singular value... |
| SourceID | wanfang |
| SourceType | Aggregation Database |
| StartPage | 2824 |
| Title | 基于神经网络的低信噪比CBOC信号组合码序列盲估计 |
| URI | https://d.wanfangdata.com.cn/periodical/xtgcydzjs201812030 |
| Volume | 40 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3Na9RAFA_9ANGD-InfFOoctyaTSTJznGQTilg92EJvJV9b8bCC3YL2JvTQU6sgiB-oPXjxoOJF6Fr8Z3aN_4Tge2-zm1QXqV7Cy3z85s17ycx7w8w8w7iamcLOTCdumCIxG8LFMC-OYzdUK-PcijFMIC4NLNx055fE9WVneWLyZ23X0nonmUs3xp4r-R-tQhroFU_J_oNmR6CQADToF56gYXgeSscsdJiKmK9ZKPApQxZ6TEMiEb7PZEREkymrTFEBEgoKC6rVpFpARExbBKiYBkCX6YgpEfi3ggPZgOh7Q3RBFUwmJTUMBJVBViIqLJmiwspnPiecgPkmCyXTIQDWTWPCtBG2ZJQQfOoPgksmfUKQZT8V0A6W0U3kATiWGjduAAGd1KMtywQTIHdYVjCtWEh9VOb4IgparXI8JgkZJcLZIPLPIEdi-8gCCV-H9RUUS_62GwXblIDVHArIpRSOgjjQGWDQK3ul3XGiH4lglOWi3HVUVketeKQVd1yjDlXntSwPX31F1UP6dkg8MihTAJMHY6B4IMi4rE1suHXOMSlq5GjmG1yUNfzDeX0ek4OT7aVNhPGsxs23tnIVzbfYxtyoDdwxKXGVvVzMOnih-YPOavow27i7xumyOJhlJo1p7nm4y2JaNxdu3K7seTR_a-sB4CvYdnVwmmPUNavyHzAYgssrf8OxbDCIK_8GfGuONyoOTTUBtjFFXxoyfsSYLXt17S99ovN97VbcXq2ZoosnjOOlDzmjBwPCSWNi484p41jtZtHTRtB_s9fb2y7evS66O8X-k6L7qnix2dvf7n3b7T9___3jU_yx8WXnS9Hd7D_eKt4-6u_t9LeeFS8_975--vFh94yxFIWLwXyjjJfSWAMvCUbaVpolZsJlLCwvNm0JshKtxE2tJOd5rMA4507Ok1i1WuDFmU6StOw8yWI3s2SaSPusMdW-187PGTMSpCRSYedWbAnwGZSnvBx8Fxjaczv20vPGbCmClXI8XFv5U68XDlXqonG0-isvGVOd--v5ZbD0O8mV8nv4BVtpvSs |
| linkProvider | EBSCOhost |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E5%9F%BA%E4%BA%8E%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E7%9A%84%E4%BD%8E%E4%BF%A1%E5%99%AA%E6%AF%94CBOC%E4%BF%A1%E5%8F%B7%E7%BB%84%E5%90%88%E7%A0%81%E5%BA%8F%E5%88%97%E7%9B%B2%E4%BC%B0%E8%AE%A1&rft.jtitle=%E7%B3%BB%E7%BB%9F%E5%B7%A5%E7%A8%8B%E4%B8%8E%E7%94%B5%E5%AD%90%E6%8A%80%E6%9C%AF&rft.au=%E5%BC%A0%E5%A4%A9%E9%AA%90&rft.au=%E5%BC%A0%E5%A9%B7&rft.au=%E7%86%8A%E6%A2%85&rft.au=%E8%B5%B5%E4%BA%AE&rft.date=2018-12-01&rft.pub=%E9%87%8D%E5%BA%86%E9%82%AE%E7%94%B5%E5%A4%A7%E5%AD%A6%E4%BF%A1%E5%8F%B7%E4%B8%8E%E4%BF%A1%E6%81%AF%E5%A4%84%E7%90%86%E9%87%8D%E5%BA%86%E5%B8%82%E9%87%8D%E7%82%B9%E5%AE%9E%E9%AA%8C%E5%AE%A4%2C%E9%87%8D%E5%BA%86%2C400065&rft.issn=1001-506X&rft.volume=40&rft.issue=12&rft.spage=2824&rft.epage=2832&rft_id=info:doi/10.3969%2Fj.issn.1001-506X.2018.12.29&rft.externalDocID=xtgcydzjs201812030 |
| thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fxtgcydzjs%2Fxtgcydzjs.jpg |