Simultaneous Spatiotemporal Bias Compensation and Data Fusion for Asynchronous Multisensor Systems
Gongjian Zhou,
Shizhe Bu,
Thiagalingam Kirubarajan
Abstract:Bias estimation of sensors is an essential prerequisite for accurate data fusion. Neglect of temporal bias in general real systems prevents the existing algorithms from successful application. In this paper, both spatial and temporal biases in asynchronous multisensor systems are investigated and two novel methods for simultaneous spatiotemporal bias compensation and data fusion are presented. The general situation that the sensors sample at different times with different and varying periods is explored, and u… Show more
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