Effect of biased estimation on radar-to-ESM track association
The track association problem of radar and electronic support measure (ESM) has been considered in the literature for several years. This problem is crucial for radar-to-ESM track fusion and is complicated by the presence of individual systematic errors and measurement errors. In order to improve th...
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Veröffentlicht in: | Journal of systems engineering and electronics 2012-04, Vol.23 (2), p.188-194 |
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description | The track association problem of radar and electronic support measure (ESM) has been considered in the literature for several years. This problem is crucial for radar-to-ESM track fusion and is complicated by the presence of individual systematic errors and measurement errors. In order to improve the track association of radar and ESM sensors, a pseudo-linear filtering algorithm is proposed to estimate the target states and improve the stability of the filter. It is found that, however, the correct probability of radar- to-ESM track association decreases as the radar measurement error decreases, when the pseudo-linear filter is used for ESM sensor filtering. In view of the strange phenomenon, this paper analyzes the reason for it by using the statistic theory and further performs Monte Carlo simulation to verify the analysis. |
doi_str_mv | 10.1109/JSEE.2012.00024 |
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In view of the strange phenomenon, this paper analyzes the reason for it by using the statistic theory and further performs Monte Carlo simulation to verify the analysis.</description><subject>Computer simulation</subject><subject>Electronics</subject><subject>Error analysis</subject><subject>ESM传感器</subject><subject>Filtering</subject><subject>Filtration</subject><subject>Monte Carlo methods</subject><subject>Radar</subject><subject>Sensors</subject><subject>有偏估计</subject><subject>测量误差</subject><subject>电子支援措施</subject><subject>线性滤波器</subject><subject>航迹关联</subject><subject>航迹融合</subject><subject>雷达</subject><issn>1004-4132</issn><issn>1004-4132</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNpNkDtPwzAUhS0EElXpzBo2BtJe26njDAyoCi8VMRRmy_GjpLRxa6eC8utx2iJhWbKH75x7z0HoEsMQYyhGz7OyHBLAZAgAJDtBPQyQpRmm5PTf_xwNQlhAd3IgBHrotrTWqDZxNqlqGYxOTGjrlWxr1yTxeqmlT1uXlrOXpPVSfSYyBKfqPXGBzqxcBjM4vn30fl--TR7T6evD0-RumipK8zal3I6pqnJm9JjIMWea8SIrFFOF5kVu9biwJNe2UBprClJb4BWDzBJayAoU7aObg--XbKxs5mLhtr6JE8V3O1c7_bMIwnTxgcSoEb8-4GvvNtsYSKzqoMxyKRvjtkFglmMKnAGL6OiAKu9C8MaKtY_x_U5gEF21oqtWdN5iX21UXB0VH66Zb-q4zZ8kwxxiy5z-AkQidZU</recordid><startdate>20120401</startdate><enddate>20120401</enddate><creator>Wang, Guohong</creator><creator>Zhang, Xiangyu</creator><creator>Tan, Shuncheng</creator><general>Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, P. 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This problem is crucial for radar-to-ESM track fusion and is complicated by the presence of individual systematic errors and measurement errors. In order to improve the track association of radar and ESM sensors, a pseudo-linear filtering algorithm is proposed to estimate the target states and improve the stability of the filter. It is found that, however, the correct probability of radar- to-ESM track association decreases as the radar measurement error decreases, when the pseudo-linear filter is used for ESM sensor filtering. In view of the strange phenomenon, this paper analyzes the reason for it by using the statistic theory and further performs Monte Carlo simulation to verify the analysis.</abstract><pub>Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, P. R. China</pub><doi>10.1109/JSEE.2012.00024</doi><tpages>7</tpages></addata></record> |
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source | IEEE Power & Energy Library; EZB-FREE-00999 freely available EZB journals |
subjects | Computer simulation Electronics Error analysis ESM传感器 Filtering Filtration Monte Carlo methods Radar Sensors 有偏估计 测量误差 电子支援措施 线性滤波器 航迹关联 航迹融合 雷达 |
title | Effect of biased estimation on radar-to-ESM track association |
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