相位的可辨识性及极大似然反褶积
Identifiability of the Phase and Maximum-Likelihood Deconvolution
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摘要: 本文所述系统有两个特点:输入为不可量测的随机信号;系统可以具有不稳定的零点或 者说系统可以是非最小相位的.文中研究了将一类输入信号与具有正确相位的脉冲响应从输 出信号中分开的条件,并对以状态空间模型为基础的极大似然反褶积方法进行了改进.利用 合成数据进行了仿真研究,仿真结果验证了非最小相位系统的可辨识性.Abstract: The system studied here is a non-minimum phase system whose input is an unmeasurable random signal. The condition is investigated, under which the input and the impulse response of a non-minimum phase system can be correctly extracted from the output. The maximum-likelihood deconvolution method based on state space model is improved in this paper. The identifiability of the non-minimum phase system is verified by the simulation results.
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Key words:
- System identification /
- Parameter estimation /
- deconvolution /
- phase identifiability /
- signal processing
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