A maximum likelihood approach to data association
A maximum likelihood approach to data association
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DOI：
10.1109/7.144581
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发表时间：
1992-04
影响因子：
4.4
通讯作者：
D. Avitzour
中科院分区：
文献类型：
--
作者：
D. Avitzour
提出了一种数据关联（DA）问题的解决方法，该问题的测量值与扫描之间是独立的。结果表明，EM迭代方法可以有效地实现目标参数的极大似然估计。将该算法应用于无源（纯方位）传感器对等速目标进行多目标弹道估计。>
An approach is presented to data association (DA) problems for which measurements are independent from scan to scan. It is demonstrated that maximum likelihood (ML) estimation of target parameters may be efficiently implemented by an EM iterative scheme. The algorithm is applied to multitarget trajectory estimation of constant-velocity targets from passive (bearing-only) sensors. >