• DocumentCode
    2269969
  • Title

    A multi-domain collaborative filter for HFSWR based on oblique projection

  • Author

    Hong, Hong ; Mao, Xing-Peng ; Hu, Cui

  • Author_Institution
    Sch. of Inf. Eng., Harbin Inst. of Technol., Harbin, China
  • fYear
    2012
  • fDate
    7-11 May 2012
  • Abstract
    Radio frequency interference (RFI) cancellation is a main problem to be solved in High Frequency Surface Wave Radar (HFSWR) system. To minimize the impact of RFI, a number of signal processing techniques, such as adaptive beamforming and polarization filtering, have been developed. However, the performance of these conventional methods degrades a lot when the target and interferences have similar parameters within the corresponding processing domains. According to the fact that target usually differs with RFI in more than one domain, it will be beneficial to suppress interferences by constructing a joint filter that includes multiple domains like frequency, space and polarization, etc. In this paper, a multi-domain collaborative filer (MDCF) based on oblique projection is proposed. The construction of oblique projection spatial-frequency-polarization filter (OPSFPF), oblique projection spatial-polarization filter (OPSPF) and oblique projection spatial filter (OPSF) is introduced. Theoretical analysis and simulation results demonstrate that the multi-domain collaborative filter is feasible and performs better when more processing domains are included. Such filter could take full advantage of the differences between the target and interference and, consequently improves the effect of RFI suppression in HFSWR.
  • Keywords
    collaborative filtering; interference suppression; polarisation; radar signal processing; radiofrequency interference; HFSWR; MDCF; OPSFPF; RFI; RFI suppression effect; adaptive beamforming; high frequency surface wave radar system; multidomain collaborative filter; oblique projection; oblique projection spatial-frequency-polarization filter; polarization filtering; radiofrequency interference cancellation; signal processing techniques; theoretical analysis; Arrays; Collaboration; Equations; Frequency domain analysis; Interference; Signal to noise ratio; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (RADAR), 2012 IEEE
  • Conference_Location
    Atlanta, GA
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4673-0656-0
  • Type

    conf

  • DOI
    10.1109/RADAR.2012.6212266
  • Filename
    6212266