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Data fusion uses observations from networked multiple sensors and generates an integrated track. It achieves wide surveillance area and high accuracy, by minimizing error covariance matrix. In ideal environment, a fundamental assumption is that sensor biases are zero. However, the bias errors are not zero in real environment. As a result, the accuracy of integrated tracks deteriorate, even if the...
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