Performance evaluation of chaotic spreading sequences on software-defined radio. Novosel, L. & Sisul, G. EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, April, 2017. Place: CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND Publisher: SPRINGEROPEN Type: Article
doi  abstract   bibtex   
In this paper, bit error performance evaluation of chaotic sequences is presented. Performance of chaotic sequences is evaluated on multiple access spread spectrum system model for USRP software defined radio. LabVIEW is used to perform numerical simulations and bit error rate analysis. Chaotic sequences of different lengths are generated using one-dimensional, two-dimensional, and three-dimensional maps. It is expected that sequences generated from complex maps will have better multiple access performance. Performance of chaotic sequences is evaluated against orthogonal sequences in multiple access scenario. Using Golay figure of merit and Pearson correlation coefficient, analysis of correlation properties and a comparison is performed on orthogonal and chaotic sequences for correlation properties comparison. The results show that chaotic sequences from two-dimensional maps have lower bit error rate than orthogonal and other chaotic sequences. Comparison of correlation properties shows that sequences with a low figure of merit and low Pearson coefficient have lower bit error rate. Those results can be used to generate chaotic sequences with desired correlation properties.
@article{novosel_performance_2017,
	title = {Performance evaluation of chaotic spreading sequences on software-defined radio},
	issn = {1687-1472},
	doi = {10.1186/s13638-017-0866-7},
	abstract = {In this paper, bit error performance evaluation of chaotic sequences is presented. Performance of chaotic sequences is evaluated on multiple access spread spectrum system model for USRP software defined radio. LabVIEW is used to perform numerical simulations and bit error rate analysis. Chaotic sequences of different lengths are generated using one-dimensional, two-dimensional, and three-dimensional maps. It is expected that sequences generated from complex maps will have better multiple access performance. Performance of chaotic sequences is evaluated against orthogonal sequences in multiple access scenario. Using Golay figure of merit and Pearson correlation coefficient, analysis of correlation properties and a comparison is performed on orthogonal and chaotic sequences for correlation properties comparison. The results show that chaotic sequences from two-dimensional maps have lower bit error rate than orthogonal and other chaotic sequences. Comparison of correlation properties shows that sequences with a low figure of merit and low Pearson coefficient have lower bit error rate. Those results can be used to generate chaotic sequences with desired correlation properties.},
	language = {English},
	journal = {EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING},
	author = {Novosel, Leonard and Sisul, Gordan},
	month = apr,
	year = {2017},
	note = {Place: CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
Publisher: SPRINGEROPEN
Type: Article},
	keywords = {Chaotic map, Chaotic sequence, LabVIEW, Multiple access, Software-defined radio, Spread spectrum, USRP},
}

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