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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yong Wu Jun Tang Yingning Peng |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Electron. Eng., Tsinghua Univ., Beijing (Yong Wu; Jun Tang; Yingning Peng) |
| Abstract | Severe clutter existing in airborne and spaceborne radar systems makes the moving target indication (MTI) mission a big challenge. To suppress the clutter effectively, the rank of clutter covariance matrix (termed as clutter rank) should be well understood. In dense array radar systems, it is found that the clutter rank can be estimated by the bandwidth-aperture product. This methodology is also applicable to sparse array radars, as long as the effective length of the equivalent array is correctly computed. In this paper, a general formula is presented to estimate the clutter rank of the system using linear arrays, and sequentially, the sufficient condition of full-rank clutter is given. The simulation shows that the general formula is accurate in various circumstances |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 5024374 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780395824 |
| DOI | 10.1109/ICR.2006.343237 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Radar clutter Spaceborne radar Sensor arrays Covariance matrix Sufficient conditions Antenna arrays Radar antennas Azimuth Sampling methods Airborne radar MTI Clutter rank sparse array radar |
| Content Type | Text |
| Resource Type | Article |
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