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Monteiro, F. A. & Rodrigues, A. J. (2005). Limits for CPM signals representation by Walsh functions . International Journal of Microwave and Wireless Technologies. 1, 82-86
F. A. Monteiro and A. J. Rodrigues, "Limits for CPM signals representation by Walsh functions ", in Int. Journal of Microwave and Wireless Technologies, vol. 1, pp. 82-86, 2005
@article{monteiro2005_1779629353612,
author = "Monteiro, F. A. and Rodrigues, A. J.",
title = "Limits for CPM signals representation by Walsh functions ",
journal = "International Journal of Microwave and Wireless Technologies",
year = "2005",
volume = "1",
number = "",
pages = "82-86",
url = "https://www.eumwa.org/en/publications/proceedings.html"
}
TY - JOUR TI - Limits for CPM signals representation by Walsh functions T2 - International Journal of Microwave and Wireless Technologies VL - 1 AU - Monteiro, F. A. AU - Rodrigues, A. J. PY - 2005 SP - 82-86 SN - 1759-0787 UR - https://www.eumwa.org/en/publications/proceedings.html AB - This paper explores the feasible limits for complexity reduction of a very simple front-end block for the calculus of phase transition metrics on a continuous phase modulation (CPM) receiver. A quasi-optimum receiver of very low complexity is attained by splitting the function of the optimum receiver bank filters in two blocks: calculus of projections coefficients on a low dimensional space of Walsh functions followed by simple matrix calculus. A sequence detection algorithm follows this block. The presented approach enables the reduction of the matched filters or correlators to just two integrators, regardless of the CPM scheme. Research on the reduction limits of the space dimension is conducted using catastrophic M-ary CPM schemes, taking advantage of their very low number of phase states. Performance of 1RECh=1/216-ary scheme is for the fist time presented. A rule is defined concerning the number of Walsh functions that must be used. That outcome proves to be valid for two CPM schemes of high power gain. The receiver is tested under additive white gaussian noise (AWGN). ER -
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