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一种新的参数估计方法及其在混沌信号盲分离中的应用
A novel method of estimating parameter and its application to blind separation of chaotic signals
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摘要: 为了有效地估计非线性映射中的参数，本文采用一种容积准则近似该映射的加权积分函数．基于由状态空间模型建模的参数，提出了一种新的参数估计方法．混沌信号的盲分离是一种具有挑战性的参数估计问题．将新的参数估计方法应用在该问题上，实现混沌信号的有效重构．仿真结果表明该算法具有较快的收敛速度和较高的数值精度，并能有效地分离原始混沌信号．Abstract: To estimate effectively parameters of nonlinear mapping, a cubature rule is used to approximate the weighted integral of this mapping. In this paper, based on these parameters modeled by a state-space model, a novel parameter estimation is proposed. Blind separation of chaotic signals is a challenging problem. The proposed method is used to solve this problem to achieve the effective reconstruction of chaotic signals. Simulation results indicate that the proposed method has a faster convergence speed and a higher numerical accuracy, and can effectively separate original chaotic signals.
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