skip to main content
10.1145/3465222.3465228acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicgdaConference Proceedingsconference-collections
research-article

A Blind Beamforming Method for GNSS Antenna Arrays Receivers

Authors Info & Claims
Published:28 July 2021Publication History
First page image

References

  1. Zukun, L., Junwei, N., Feiqiang, C., & Gang, O.. (2016). “Impact on antijamming performance of channel mismatch in GNSS antenna arrays receivers”. International Journal of Antennas and Propagation,2016,(2016-12-18), 2016, 1-9.Google ScholarGoogle Scholar
  2. Chen, F., Nie, J., Li, B., & Wang, F.. (2015). “Distortionless space-time adaptive processor for global navigation satellite system receiver”. Electronics Letters, 51(25), 2138-2139.Google ScholarGoogle ScholarCross RefCross Ref
  3. Wu, S., & Li, Y.. (1995). “Adaptive channel equalization for space-time adaptive processing”. Radar Conference, 1995. Record of the IEEE 1995 International. IEEE.Google ScholarGoogle Scholar
  4. Fante, R. L., & Vaccaro, J. J.. (2000). “Wideband cancellation of interference in a GPS receive array”. IEEE Transactions on Aerospace & Electronic Systems, 36(2), 549-564.Google ScholarGoogle ScholarCross RefCross Ref
  5. Choi, J. W., Han, S., & Cioffi, J. M.. (2008). “An fir channel estimation filter with robustness to channel mismatch condition”. IEEE Transactions on Broadcasting, 54(1), 127-130.Google ScholarGoogle ScholarCross RefCross Ref
  6. Widrow, B., Mccool, J. M., Larimore, M. G., & Jr, C. R. J.. (1976). “Stationary and nonstationary learning characteristics of the lms adaptive filter”. Proceedings of the IEEE, 64(8), 1151-1162.Google ScholarGoogle ScholarCross RefCross Ref
  7. Arribas, J. , Fernandez-Prades, C. , & Closas, P. . (2013). “Antenna array based GNSS signal acquisition for interference mitigation”. Aerospace & Electronic Systems IEEE Transactions on, 49(1), 223-243.Google ScholarGoogle ScholarCross RefCross Ref
  8. Gao, F. , Wang, Y. L. , Chen, H. , & Xue, X. F. . (2008). “Effect of Channel Mismatch on STAP Performance. Congress on Image & Signal Processing”. IEEE Computer Society.Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Wang, Y., Huiyong L., Xianglei D.. (2013) “A Suitable Channel Equalization Method for Navigation System,” International Conference on Computational Problem-solving, 283.Google ScholarGoogle ScholarCross RefCross Ref
  10. Rougerie, Sébastien, Carrié, Guillaume, Vincent, François, Ries, L. , & Monnerat, M. . (2012). “A new multipath mitigation method for gnss receivers based on an antenna array”. Journal of Computational Physics.Google ScholarGoogle Scholar
  11. Niranjana Vagle, Ali Broumandan, Ali Jafarnia-Jahromi, & Gérard Lachapelle. (2016). “Performance analysis of GNSS multipath mitigation using antenna arrays”. The Journal of Global Positioning Systems.Google ScholarGoogle Scholar
  12. O'Brien, A. J. , & Gupta, I. J. . (2010). “An optimal adaptive filtering algorithm with zero antenna‐induced bias for GNSS antenna arrays”. Navigation, 57(2), 87–100.Google ScholarGoogle ScholarCross RefCross Ref
  13. Dai, X. , Nie, J. , Chen, F. , & Ou, G. . (2017). “Distortionless space-time adaptive processor based on MVDR beamformer for GNSS receiver”. Iet Radar Sonar & Navigation, 11(10), 1488-1494.Google ScholarGoogle ScholarCross RefCross Ref
  14. O'Brien, A. J. , & Gupta, I. J. . (2008). “Mitigation of adaptive antenna-induced biases in GNSS receivers”. IEEE Transactions on Aerospace and Electronic Systems, 47(1), 524-538.Google ScholarGoogle ScholarCross RefCross Ref
  15. Wu, J. , Huang, L. , Tang, X. , Li, B. , & Wang, F. . (2020). “Distortionless Blind Beamformer for Interference Suppression in GNSS Antenna Array Receiver”. China Satellite Navigation Conference (CSNC) 2020 Proceedings: Volume III.Google ScholarGoogle ScholarCross RefCross Ref

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    ICGDA '21: Proceedings of the 2021 4th International Conference on Geoinformatics and Data Analysis
    April 2021
    78 pages
    ISBN:9781450389341
    DOI:10.1145/3465222

    Copyright © 2021 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 28 July 2021

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article
    • Research
    • Refereed limited
  • Article Metrics

    • Downloads (Last 12 months)8
    • Downloads (Last 6 weeks)1

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format