• DocumentCode
    449528
  • Title

    A reduced-complexity approach to iterative detection of coded MIL-STD SOQPSK

  • Author

    Perrins, Erik ; Rice, Michael

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Kansas Univ., Lawrence, KS, USA
  • Volume
    3
  • fYear
    2005
  • fDate
    28 Nov.-2 Dec. 2005
  • Abstract
    We develop a reduced-complexity approach to the detection of military-standard (MIL-STD) shaped-offset quadrature phase-shift keying (SOQPSK), a highly bandwidth-efficient constant-envelope waveform. The complexity savings result from viewing the signal as a continuous phase modulation (CPM). The proposed detector has a matched filter bank which is one-fourth as complex as previously reported designs. We establish that this reduced-complexity detector achieves optimal performance for uncoded MIL-STD SOQPSK. We also show a simple and convenient closed-form expression for a recursive precoder for SOQPSK, which is necessary in serially concatenated systems. Finally, we show that the proposed reduced-complexity detector achieves the large coding gains that have recently been reported for serially concatenated coded MIL-STD SOQPSK.
  • Keywords
    channel bank filters; computational complexity; concatenated codes; continuous phase modulation; matched filters; military standards; precoding; quadrature phase shift keying; bandwidth-efficient constant-envelope waveform; concatenated systems; continuous phase modulation; iterative detection; matched filter bank; military-standard shaped-offset quadrature phase-shift keying; recursive precoder; reduced-complexity approach; Bandwidth; Concatenated codes; Detectors; Iterative methods; Matched filters; Phase modulation; Pulse amplifiers; Pulse modulation; Pulse shaping methods; Quadrature phase shift keying;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2005. GLOBECOM '05. IEEE
  • Print_ISBN
    0-7803-9414-3
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2005.1577922
  • Filename
    1577922