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In practical multi-sensor tracking systems, target states are estimated based on measurements which are often obtained non-uniformly from each local sensor, and the system bias widely exists in these measurements. However, conventional methods can only deal with the two issues respectively. Based on an expectation-maximization (EM) algorithm and improved Kalman filter, a novel algorithm is proposed...