Name
Abstract | ||
|---|---|---|
This article deals with the problem of adaptive target detection in the presence of homogeneous Gaussian interference with frequency diverse array multiple-input multiple-output radar. Adaptive detectors are devised according to the generalized likelihood ratio test criterion, where the position of the target within each range cell is assumed unknown. To obtain the maximum likelihood estimate of the target incremental range under the H
<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub>
hypothesis, three different optimization strategies are pursued. They are, respectively, based on semidefinite programming, discrete grid search, and Newton method. At the analysis stage, a detection performance comparison is carried on among the new proposed adaptive detectors, benchmark, and mismatched receivers. Numerical results corroborate the effectiveness of the developed receivers. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TAES.2020.3028485 | IEEE Transactions on Aerospace and Electronic Systems |
Keywords | DocType | Volume |
Frequency diverse array multiple-input multiple-output (FDA-MIMO) radar,generalized likelihood ratio test (GLRT),maximum likelihood (ML),Newton-based refinement,semidefinite programming (SDP),trigonometric polynomial functions | Journal | 57 |
Issue | ISSN | Citations |
1 | 0018-9251 | 6 |
PageRank | References | Authors |
0.46 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lan Lan | 1 | 364 | 22.89 |
| Angela Marino | 2 | 6 | 0.46 |
| Augusto Aubry | 3 | 394 | 27.40 |
| Antonio De Maio | 4 | 721 | 48.03 |
| Guisheng Liao | 5 | 996 | 126.36 |
| Jingwei Xu | 6 | 229 | 24.49 |
| Yuhong Zhang | 7 | 113 | 17.97 |