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The problem addressed in this work is to separate the signals of moving sources with independent component analysis (ICA) and tracking the kinematics (position, velocity, acceleration) of each individual source in the working space using particle filters. To identify the unpredictable movement of the speaker over time, the new proposed state switching scheme handles the uncertainty of the speaker's...
In this paper a comprehensive algorithm is presented to alleviate the undesired simultaneous effects of observed glint noise distribution, colored noise spectrum, unknown noise parameter, and nonlinearity of the system on tracking of the maneuvering targets in 3-dimensional space. Particle filter is used as a nonlinear state estimator to deal with the nonlinearities of the observation equations. To...
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