• DocumentCode
    759167
  • Title

    PAM decomposition of M-ary multi-h CPM

  • Author

    Perrins, Erik ; Rice, Michael

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
  • Volume
    53
  • Issue
    12
  • fYear
    2005
  • Firstpage
    2065
  • Lastpage
    2075
  • Abstract
    It is known that any multilevel continuous phase-modulated (CPM) signal with a single modulation index can be exactly represented by a sum of pulse-amplitude modulated (PAM) waveforms. In this paper, we show how multi-h CPM signals can also be represented in this manner. The decomposition is presented in general terms as a function of the alphabet size, modulation indexes, and phase pulse of the CPM scheme. The number of pulses required to exactly construct the signal is shown to increase over that previously given for single-h schemes; this increase is in proportion to the number of modulation indexes. We propose an approximation which significantly reduces the number of signal pulses and which minimizes the mean-squared error for an arbitrary set of modulation indexes. We show that this approximation can have two objectives: 1) to reduce the number of pulses in the same manner as has been proposed for single-h schemes; and/or 2) to reduce the number of multi-h pulses; we also show the conditions where this latter objective is most practical. We compare this minimum mean-squared error approximation with another method which was recently proposed for CPM. We also give numerical results on detection performance which demonstrate the practicality of the proposed approximation.
  • Keywords
    continuous phase modulation; mean square error methods; pulse amplitude modulation; M-ary multi-h CPM; PAM decomposition; continuous phase-modulated signal; minimum mean-squared error approximation; modulation index; pulse-amplitude modulated waveforms; signal pulses; Autocorrelation; Detectors; Filter bank; Pulse modulation; Signal representations; Continuous phase modulation (CPM); Laurent decomposition; minimum mean-squared error (MMSE) approximation; multi-; pulse amplitude modulation (PAM);
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2005.860064
  • Filename
    1556833