A Countermeasure Method for Background Noise in the State Estimation of Magnetic and Sound Field Environment through an Establishment of Digital Filter
Akira Ikuta, Mitsuo Ohta · IEEJ Transactions on Electronics Information and Systems · 2001
The observed phenomena in the actual magnetic and sound field environment are inevitably contaminated by the background noise of arbitrary distribution type. Therefore, in order to evaluate the wave motion type environment, it is necessary to establish some estimation methods to remove the undesirable effect of the background noise. In this paper, a digital filter for estimating a specific signal under the existence of a background noise with non-Gaussian distribution form is proposed. By applying the well-known least mean squared method for the moment statistics with several orders, a practical estimation method including Kalman filter as a special case is derived. The effectiveness of the proposed theoretical method is experimentally confirmed by applying it to the actual estimation problem in magnetic and sound field environment.