NDLI: Analysis Techniques for the Power Spectral Density Estimation of Convolutionally Coded Impulse Radio UWB Signals Subject to Attenuation and Timing Jitter

Content Provider	IEEE Xplore Digital Library
Author	Villarreal-Reyes, S. Edwards, R.M.
Copyright Year	1967
Abstract	A method for the spectral analysis of convolutionally coded Markov-driven impulse radio (IR)-based ultrawideband (UWB) systems is introduced. Example applications in UWB systems include the study of pulse position modulation (PPM), pulse-amplitude modulation (PAM), biorthogonal modulation, and pulse-shape modulation combined with periodic (e.g., pseudorandom)/random time-hopping (TH), as well as periodic/random direct-sequence (DS) multiplication. The effects of random jitter and pulse attenuation are considered in this analysis. The final result allows simple examination of the power spectral density (PSD) of such signals. This result clearly delimitates the relative contributions of parameters that allow enhanced design of UWB systems. Application examples are presented for a new convolutional encoder, providing a spectral-line-free PSD for quaternary biorthogonal (PAM/PPM) modulation IR UWB systems.
Sponsorship	IEEE Vehicular Technology Society
Starting Page	1355
Ending Page	1374
Page Count	20
File Size	1132790
File Format	PDF
ISSN	00189545
Volume Number	58
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal analysis Convolutional codes Convolution Attenuation Timing jitter Pulse modulation Spectral analysis Ultra wideband technology FCC Amplitude modulation ultrawideband (UWB) impulse radio (IR) power spectral density (PSD) spectral analysis spectral shaping ultra wideband (UWB) impulse radio (IR)
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Automotive Engineering Computer Networks and Communications Electrical and Electronic Engineering Aerospace Engineering

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