Cui Ningzhou, Liu Yuan, Xie Weixin. THEORETICAL ANALYSIS OF IMPROVEMENT OF TRACK LOSS IN CLUTTER WITH MULTISENSOR DATA FUSION[J]. Journal of Electronics & Information Technology, 1999, 21(1): 83-90.
Citation:
Cui Ningzhou, Liu Yuan, Xie Weixin. THEORETICAL ANALYSIS OF IMPROVEMENT OF TRACK LOSS IN CLUTTER WITH MULTISENSOR DATA FUSION[J]. Journal of Electronics & Information Technology, 1999, 21(1): 83-90.
Cui Ningzhou, Liu Yuan, Xie Weixin. THEORETICAL ANALYSIS OF IMPROVEMENT OF TRACK LOSS IN CLUTTER WITH MULTISENSOR DATA FUSION[J]. Journal of Electronics & Information Technology, 1999, 21(1): 83-90.
Citation:
Cui Ningzhou, Liu Yuan, Xie Weixin. THEORETICAL ANALYSIS OF IMPROVEMENT OF TRACK LOSS IN CLUTTER WITH MULTISENSOR DATA FUSION[J]. Journal of Electronics & Information Technology, 1999, 21(1): 83-90.
The paper analyses the improvement of track loss in clutter with multisensor data fusion. By adetemination of the transition probability desity function for the fusion prediction error, one can study the mechanism of track loss analytically. For nearest- neighbor association algorithm, we study the fusion tracking performance parameters,such as mean time to lose fusion track and the fraction of lost fusion track initiation,respectively. A comparison of the results obtained with the case of a single sensor is presented. These results show that the fusion tracks of multisensor reduce the possibility of track loss and improve the tracking performance. The analysis is of great importance for further understanding the action of data fusion.
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