State Estimation for Sound Environment System with Nonlinear Observation Characteristics by Introducing Wide-Sense Particle Filter
- 1 Department of Management Information Systems, Prefectural University of Hiroshima, Hiroshima, Japan
- 2 Department of Management Information Systems, Prefectural University of Hiroshima, Hiroshima, Japan
- 3 Western Region Industrial Research Center, Hiroshima Prefectural Technology Research Institute, Kure, Japan
Abstract
In this study, a modified particle filter considering non-Gaussian properties of noises is proposed in a form applicable to real situation in sound environment system where the observation data are contaminated by the external noise ( i.e. , background noise) of arbitrary probability distribution and measured in decibel scale. More specifically, a nonlinear observation model in decibel scale with a quantized level is first paid considered by introducing the additive property of energy variables ( i.e. , sound intensity) in sound environment system. Next, a wide-sense particle filter of an expansion expression type is derived in a form suitable for the nonlinear observation characteristics and the signal processing considering higher-order correlation information between the specific signal and observation. Furthermore, the effectiveness of the proposed theory is confirmed by applying it to the observed data measured in real sound environment.
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