Non-average performance of chaos-based DS-CDMA: A tensor approach to analytical any-order correlation of spreading sequences

R. Rovatti; G. Mazzini; G. Setti

doi:10.1109/ISCAS.2000.858793

Non-average performance of chaos-based DS-CDMA: A tensor approach to analytical any-order correlation of spreading sequences

R. Rovatti, G. Mazzini, G. Setti

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

This paper deals with the mathematical tools needed to optimize the performance of a chaos-based DS-CDMA system. The optimization exploits the degrees of freedom offered by the choice of a spreading sequence for each user. The impact of this choice depends on the map adopted and can be estimated by computing high-order autocorrelation functions of the spreading sequences, i.e. of the quantized version of chaotic trajectories. This computation can be effectively formulated and finalized within the tensor algebra framework proposed in this paper.

Original language	English (US)
Title of host publication	Proceedings - IEEE International Symposium on Circuits and Systems
Publisher	IEEEPiscataway
DOIs	https://doi.org/10.1109/ISCAS.2000.858793
State	Published - Jan 1 2000
Externally published	Yes

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10.1109/ISCAS.2000.858793

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abstract = "This paper deals with the mathematical tools needed to optimize the performance of a chaos-based DS-CDMA system. The optimization exploits the degrees of freedom offered by the choice of a spreading sequence for each user. The impact of this choice depends on the map adopted and can be estimated by computing high-order autocorrelation functions of the spreading sequences, i.e. of the quantized version of chaotic trajectories. This computation can be effectively formulated and finalized within the tensor algebra framework proposed in this paper.",

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N2 - This paper deals with the mathematical tools needed to optimize the performance of a chaos-based DS-CDMA system. The optimization exploits the degrees of freedom offered by the choice of a spreading sequence for each user. The impact of this choice depends on the map adopted and can be estimated by computing high-order autocorrelation functions of the spreading sequences, i.e. of the quantized version of chaotic trajectories. This computation can be effectively formulated and finalized within the tensor algebra framework proposed in this paper.

AB - This paper deals with the mathematical tools needed to optimize the performance of a chaos-based DS-CDMA system. The optimization exploits the degrees of freedom offered by the choice of a spreading sequence for each user. The impact of this choice depends on the map adopted and can be estimated by computing high-order autocorrelation functions of the spreading sequences, i.e. of the quantized version of chaotic trajectories. This computation can be effectively formulated and finalized within the tensor algebra framework proposed in this paper.

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M3 - Conference contribution

BT - Proceedings - IEEE International Symposium on Circuits and Systems

PB - IEEEPiscataway

ER -

Non-average performance of chaos-based DS-CDMA: A tensor approach to analytical any-order correlation of spreading sequences

Abstract

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