Adaptive Bayesian Detection Using MIMO Radar in Spatially Heterogeneous Clutter
Adaptive Bayesian Detection Using MIMO Radar in Spatially Heterogeneous Clutter
复制标题
空间异构杂波中使用 MIMO 雷达的自适应贝叶斯检测
DOI：
10.1109/lsp.2013.2255272
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发表时间：
2013-03
影响因子：
3.9
通讯作者：
Yang, Xiaobo
中科院分区：
文献类型：
--
作者：
Zhang, Tianxian;Cui, Guolong;Kong, Lingjiang;Yang, Xiaobo
This letter considers adaptive target detection problem using multiple-input multiple-output (MIMO) radar in the presence of spatially heterogeneous clutter. The covariances of the primary data and secondary data for the same and different transmit-receive pairs are modeled as different random matrices with partial priori knowledge of the environment. Two-step strategy is employed to design adaptive detector. Specifically, we first obtain the generalized likelihood ratio test (GLRT) detector by assuming the known matrices. Then, we derive the maximum posteriori (MAP) estimator of the covariance matrices by exploiting the priori information, and replace the given covariance matrices in the obtained GLRT with MAP estimates. Finally, we evaluate the proposed adaptive detector via numerical simulations.
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影响因子：
2.5
作者：
S. Kay
通讯作者：
S. Kay
DOI：
10.1109/ssp.2009.5278651
发表时间：
2009-10
期刊：
2009 IEEE/SP 15th Workshop on Statistical Signal Processing
影响因子：
--
作者：
C. Y. Chong;Frédéric Pascal;J. Ovarlez;M. Lesturgie
通讯作者：
C. Y. Chong;Frédéric Pascal;J. Ovarlez;M. Lesturgie
影响因子：
3.9
作者：
De Maio, A.;Iommelli, S.
通讯作者：
Iommelli, S.
DOI：
10.1109/taes.2007.4383581
发表时间：
2007-07-01
影响因子：
4.4
作者：
De Maio, Antonio;Lops, Marco
通讯作者：
Lops, Marco
DOI：
10.1109/jstsp.2009.2038980
发表时间：
2010-01
影响因子：
7.5
作者：
C. Y. Chong;F. Pascal;J. Ovarlez;M. Lesturgie
通讯作者：
C. Y. Chong;F. Pascal;J. Ovarlez;M. Lesturgie