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https://doi.org/10.7305/automatika.2017.02.910

Spectral-Efficient Green Wireless Communications via Cognitive UWB Signal Model

Farzad H. Panahi orcid id orcid.org/0000-0002-3280-0665 ; Department of Electrical Engineering, Department of Plant Biotechnology Engineering University of Kurdistan (UOK) Kurdistan, Sanandaj, Pasdaran street, Iran
Parvin Farhadi ; Department of Information Technology (IT) Engineering, Department of Plant Biotechnology Engineering University of Kurdistan (UOK) Kurdistan, Sanandaj, Pasdaran street, Iran
Zhila H. Panahi ; Department of Plant Biotechnology Engineering University of Kurdistan (UOK) Iran, Kurdistan, Sanandaj, Pasdaran street, Iran


Puni tekst: engleski pdf 973 Kb

str. 793-809

preuzimanja: 309

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Sažetak

This paper focuses on spectral lines suppression for non-coherent impulse-radio ultra-wideband (IR-UWB) signals in the presence of pulse attenuation and timing jitter. Particular attention is devoted to severely unbalanced (i.e. non-uniform distributed) data sources where a unified spectral analysis is considered for both uncorrelated and correlated M-ary biorthogonal data-stream scenarios. Indeed, the specific novelty insights of this paper are as follows: i) Proposal of a new spectral-efficient signal model as a modified version of transmitted-reference (TR) approach, where each transmitted symbol is represented by a preamble Data-based Statistical Reference (DSR) followed by a set of transmitted data pulses and within this context, the preamble signal is designed to eliminate spectral lines via an adaptive monitoring of data-stream statistics as the optimal spectral policy; ii) Performance analysis in order to derive optimal signal parameters; iii) Evaluation of the system capabilities over different predefined operational modes.

Ključne riječi

Spectral-Efficient Green Wireless Communications; Optimal Spectral Policy; Cognitive UWB Signal Model

Hrčak ID:

180720

URI

https://hrcak.srce.hr/180720

Datum izdavanja:

23.3.2017.

Podaci na drugim jezicima: hrvatski

Posjeta: 893 *