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A tensor approach to higher order expectations of chaotic trajectories. II. Application to chaos-based DS-CDMA in multipath environments

机译:一种张量方法,用于对混沌轨迹的更高阶期望。二。在多径环境中应用于基于混沌的DS-CDMA

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For pt. I see ibid., vol. 47, no. 11, p. 1571-1583 (2000). Chaos-based DS-CDMA systems in presence of a dispersive channel are analyzed to obtain analytical expression for key quantities involved in performance evaluation. To do so a simple but realistic exponential model for dispersive channel characterization is adopted to derive an estimation of the magnitude of error causes in terms of second-, third- and fourth-order correlation properties of the spreading sequences. These properties are analytically computed by choosing a suitable set of chaotic-maps for sequences generation and using some tools from the general theory developed in the companion paper. Such a theory expresses higher order expectations as products between tensors made of the spreading symbols and tensors accounting for the mixed causal-stochastic nature of the chaotic generators. The factorization of these tensors naturally leads to a handy exponential form for correlations. With this a closed form is given for the variances of disturbing terms which, under the standard Gaussian assumption, determine the system performance. Such closed forms are finally exploited to optimize the performance of the system under different channel and load conditions, showing an improvement over what can be obtained by some classical spreading sequences.
机译:对于pt。我看同上。 47,没有第11页。 1571-1583(2000)。对存在分散信道的基于混沌的DS-CDMA系统进行分析,以获得涉及性能评估的关键参数的解析表达式。为此,采用一个简单但逼真的指数模型进行色散信道表征,以根据扩展序列的二阶,三阶和四阶相关特性得出错误原因的估计值。通过选择一组合适的混沌图谱进行序列生成,并使用伴随论文中开发的一般理论中的某些工具,可以对这些特性进行分析计算。这种理论表达了更高阶的期望,因为由扩展符号构成的张量与张量之间的乘积考虑了混沌生成器的混合因果-随机性质。这些张量的因式分解自然会导致相关的便捷指数形式。通过这种方式,给出了扰动项方差的封闭形式,这些扰动项在标准高斯假设下确定了系统性能。最终利用这种封闭形式来优化系统在不同信道和负载条件下的性能,显示出对某些经典扩频序列可获得的改进。

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