NDLI: A bandwidth efficient constant envelope modulation with binary convolutional coding

Content Provider	IEEE Xplore Digital Library
Author	Hermes, D.J. Kragh, F.E. Robertson, C.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Naval Postgrad. Sch., Monterey, CA (Hermes, D.J.; Kragh, F.E.; Robertson, C.)
Abstract	This paper demonstrates the application of binary convolutional coding applied to the bandwidth efficient, constant envelope modulation developed by Resnikoff and Tigerman. The modulation waveform and phase form are presented with the corresponding bit error performance expression for uncoded M-ary modulation. Probability of information bit error performance analysis is provided for M-ary modulation with binary convolutional coding with hard and soft decision Viterbi decoding. Expected performance bounds and coding gains are determined using the probability of information bit error performance analysis for M = 8 modulation with rate 1/3 binary convolutional codes, and are validated by numerical simulations. Near optimum path metrics are devised for M-ary modulation with binary convolutional codes with soft decision decoding.
Starting Page	418
Ending Page	422
File Size	419152
Page Count	5
File Format	PDF
ISBN	9781424429400
ISSN	10586393
DOI	10.1109/ACSSC.2008.5074438
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bandwidth Modulation coding Convolutional codes Decoding Performance analysis Telephony Phase modulation Viterbi algorithm Numerical simulation Bit error rate
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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