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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Piou, J.E. Dumanian, A.J. |
| Copyright Year | 2014 |
| Description | Author affiliation: Lincoln Lab., Massachusetts Inst. of Technol., Lexington, MA, USA (Piou, J.E.; Dumanian, A.J.) |
| Abstract | This work describes the computation of scatterers that lay on the body of a real target which are depicted in radar images. A novelty of the approach is the target echoes collected by the radar are formulated into the first Fornasini-Marchesini (F-M) state space model [1] to compute poles that give rise to the scatterer locations in the two-dimensional (2-D) space. Singular value decomposition carried out on the data provides state matrices that capture the dynamics of the target. Furthermore, eigenvalues computed from the state transition matrices provide range and cross-range locations of the scatterers that exhibit the target silhouette in 2-D space. The maximum likelihood function is formulated with the state matrices to obtain an iterative expression for the Fisher information matrix (FIM) from which posterior Cramer-Rao bounds associated with the various scatterers are derived. Effectiveness of the 2-D state-space technique is tested on static range data collected on a complex conical target model; its accuracy to extract target length is judged and compared with the physical measurements. Validity of the proposed 2-D state-space technique and the Cramer-Rao bounds are demonstrated through data collected on the target model. |
| Starting Page | 2279 |
| Ending Page | 2284 |
| File Size | 426014 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479932726 |
| ISSN | 07431619 |
| e-ISBN | 9781479932740 |
| DOI | 10.1109/ACC.2014.6858993 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Matrix decomposition Computational modeling Data models Eigenvalues and eigenfunctions Cramer-Rao bounds Mathematical model Feature extraction Control applications Estimation Identification |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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