Adaptive Bayesian Detection for MIMO Radar in Gaussian Clutter
For collocated Multiple-Input Multiple-Output (MIMO) radar, we investigate the target detection problem in Gaussian clutter with an unknown but random covariance matrix. An inverse complex Wishart distribution is chosen as prior knowledge for the random covariance matrix. We propose two detectors in...
Main Authors: | HAN Jinwang, ZHANG Zijing, LIU Jun, ZHAO Yongbo |
---|---|
Format: | Article |
Language: | English |
Published: |
China Science Publishing & Media Ltd. (CSPM)
2019-08-01
|
Series: | Leida xuebao |
Subjects: | |
Online Access: | http://radars.ie.ac.cn/article/doi/10.12000/JR18090?viewType=HTML |
Similar Items
-
Moving target detection with polarimetric distributed MIMO radar in heterogeneous clutter
by: Yan Xiang, et al.
Published: (2019-10-01) -
Passive MIMO Radar Detection with Unknown Colored Gaussian Noise
by: Yongjun Liu, et al.
Published: (2021-07-01) -
Bistatic MIMO Radar Clutter Suppression by Exploiting the Transmit Angle
by: Li Jun, et al.
Published: (2014-04-01) -
SYNTHESIS ALGORITHM OF GEOMETRICAL STRUCTURE OF MIMO RADAR ANTENNA ARRAY
by: S. A. Gorshkov, et al.
Published: (2019-06-01) -
A fast STAP method using persymmetry covariance matrix estimation for clutter suppression in airborne MIMO radar
by: Yan Zhou, et al.
Published: (2019-02-01)