• DocumentCode
    3129542
  • Title

    Compressed UWB signal detection with narrowband interference mitigation

  • Author

    Wang, Zhongmin ; Arce, Gonzalo R. ; Sadler, Brian M. ; Paredes, Jose L. ; Hoyos, Sebastian ; Yu, Zhuizhuan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Delaware, Newark, DE
  • Volume
    2
  • fYear
    2008
  • fDate
    10-12 Sept. 2008
  • Firstpage
    157
  • Lastpage
    160
  • Abstract
    Operating at sub-Nyquist rate, compressed sensing (CS) has been successfully applied to the design of impulse ultra-wideband (I-UWB) receivers where Nyquist sampling is a formidable challenge. However, strong narrowband interference (NBI) can easily jam and saturate the receiver front-end and greatly degrade the system performance. In this paper, CS is applied to the design of I-UWB receivers with NBI mitigation. By exploiting the sparsity of the NBI within the pulse UWB spectrum, a compressive measurement matrix can be designed that is not only efficient at collecting signal energy, but also nulls out the NBI effectively. The performance analysis of the proposed receiver is provided. Simulation results show the effectiveness of the proposed method for UWB signal detection and NBI mitigation.
  • Keywords
    matrix algebra; radiofrequency interference; signal detection; ultra wideband communication; Nyquist sampling; UWB signal detection; compressed sensing; compressive measurement matrix; impulse ultrawideband receivers; narrowband interference mitigation; sub-Nyquist rate; Compressed sensing; Degradation; Interference; Narrowband; Pulse compression methods; Pulse measurements; Sampling methods; Signal detection; System performance; Ultra wideband technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultra-Wideband, 2008. ICUWB 2008. IEEE International Conference on
  • Conference_Location
    Hannover
  • Print_ISBN
    978-1-4244-2216-6
  • Electronic_ISBN
    978-1-4244-1827-5
  • Type

    conf

  • DOI
    10.1109/ICUWB.2008.4653375
  • Filename
    4653375