Spektralno-efikasna zelena bežična komunikacija pomoću kognitivnog UWB signalnog modela

Abstract

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.Ovaj rad se fokusira na prigušenje spektralnih linija kod ne-koherentnih radio-impulsnih ultra-širokopojasnih (IR-UWB) signala prilikom slabljenja pulsa i vremenskog podrhtavanja. Posebna pažnja je pridana značajno neuravnoteženim (npr. ne-unifornmno distribuiranim) izvorima podataka gdje je jedinstvena spektralna analiza razmatrana za nekorelirane i korelirane M-arne biortogonalne scenarije prijenosa podataka. Novine predstavljene u ovom radu su: i) Novi spektralno-efikasni signalni model koji je modificirana verzija pristupa prijenosom-reference (TR), gdje se svaki preneseni simbol prikazuje pomoću preambule definirane statistikom reference podataka (DSR) koju slijedi skup prenesenih podatkovnih pulseva, te je u tom kontekstu preambula signala dizajnirana kako bi se eliminirale spektralne linije pomoću optimalnog spektralnog kriterija definiranog adaptivnim praćenjem statistike poslanih podataka; ii) Analiza performansi kako bi se dobili optimalni parametri signala i iii) Evaluacija sposobnosti sustava prilikom rada u različitim predefiniranim stanjima