基于高阶统计量(HOS)的发动机噪声传递非线性系统估计

Liu Ruolun, Wang Shuxun, Song Chuan-xue
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引用次数: 0

摘要

基于高阶统计量,提出了一种用于发动机噪声传递非线性系统估计的阶跃变量自适应方法。它分别给出了线性和非线性分量参数的一致估计,因此每一步都很容易探索。HOS使得该算法对任何id噪声都不敏感。变步长自适应算法具有较快的收敛速度。我们在一辆微型客车上的实验表明,所提出的方法给出了一个精确描述发动机噪声传递的系统函数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimate of nonlinear system of engine noise transfer based on higher order statistics (HOS)
Based on the higher order statistics (HOS), a step variable adaptive method for the nonlinear system estimation of engine noise transfer is proposed. It gives consistent estimation of parameters of linear and nonlinear components separately, so every step is easy to explore. HOS makes this algorithm insensitive to any i.i.d. noise. The variable step of the adaptive algorithm gives fast convergence rate. Our experiments on a microbus show that the proposed approach gives a system function that precisely describes the transfer of engine noise.
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