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In multi-sensor data fusion (or sensor fusion), sensor biases (or offsets)often affect the accuracy of the correlation and integration results of thetracking targets. Therefore, to estimate and compensate the bias, severalmethods are proposed. However, most methods involve bias estimation and sensorfusion simultaneously by using Kalman filter after collecting the plot datatogether. Hence, these methods cannot support to fuse the track data preparedby tracking filter at each sensor node. This report proposes the new biasestimation method based on multi-agent model, in order to estimate andcompensate the bias for decentralized sensor fusion.

Bias Estimation for Decentralized Sensor Fusion -- Multi-Agent Based Bias Estimation Method