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Measurements set preprocessing for estimation of nonlinear model parameter |
Yang Hongwen; Hu Weidong; Wu Jianhui; Yu Wenxian |
ATR key Lab., National University of Defense Technology Changsha 410073 China |
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Abstract Estimation accuracy of nonlinear parameter not only relates to the random measurement noise, but also relates to the system observability, provided that system observability is very low and the parameters intermix. Aiming at this, a preprocessing method based on measurements selection is proposed to strengthen the system observability. As an example, the preprocessed subset is used to estimate the system errors of radar. It is shown that this method can improve the estimation accuracy.
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Received: 03 April 2002
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