• DocumentCode
    428105
  • Title

    Best permutation search strategy for ultra-wideband signal acquisition

  • Author

    Vijayakumaran, Saravanan ; Wong, Tan F.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Florida Univ., Gainesville, FL, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    26-29 Sept. 2004
  • Firstpage
    1184
  • Abstract
    Recently, it was shown that equal gain combining (EGC) is a practical way of exploiting dense multipath in the ultra-wide band channel (UWB) to get better acquisition performance. By taking system performance subsequent to acquisition into account, it was shown that there are multiple phases (called the hit set) where a receiver lock can be considered as successful acquisition. In this case, the serial search may no longer be the optimal choice for the sequential search strategy in the acquisition system. We consider the set of all search strategies which are permutations of the search space and show that, in the low signal-to-noise ratio (SNR) regime, there exists an optimal permutation search strategy which minimizes the mean detection time. Furthermore, we show that this optimal strategy has a simple jump-by-H structure.
  • Keywords
    minimisation; multipath channels; radio receivers; search problems; signal detection; ultra wideband communication; SNR; UWB channel; dense multipath; equal gain combining; mean detection time minimization; multiple phases; permutation search strategy; receiver lock; sequential search strategy; serial search; signal-to-noise ratio; ultra-wideband signal acquisition; Clocks; Correlators; Demodulation; Diversity reception; Performance analysis; Performance gain; Signal generators; Signal to noise ratio; System performance; Ultra wideband technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th
  • ISSN
    1090-3038
  • Print_ISBN
    0-7803-8521-7
  • Type

    conf

  • DOI
    10.1109/VETECF.2004.1400208
  • Filename
    1400208