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Robust FDA-STAP approach based on multiple response constraints.
- Source :
-
AEU: International Journal of Electronics & Communications . Dec2019, Vol. 112, pN.PAG-N.PAG. 1p. - Publication Year :
- 2019
-
Abstract
- Frequency diverse array (FDA) has the ability to suppress the range-dependent interference and resolve the range ambiguity by using its additional degree-of-freedom (DOFs) in range domain. However, the spatial-temporal spectrum of fast-moving target is not ideally focused in spatial-temporal plane, which causes a large mismatch between the real and presumed target locations and significantly degrades the performance of space-time adaptive processing (STAP). To solve this problem, in this paper, a robust FDA-STAP approach based on multiple magnitude response constraints is proposed to improve the detection performance of fast-moving target. Specifically, several small uncertainty sets are employed to constraint the magnitude response, and then the worst-case based optimization problem is formed. To reduce the influence of the spatial-temporal-spectrum-defocusing of fast-moving target, a non-focused constraint on the STAP weight vector is devised. Finally, the proposed method is formulated as a non-convex quadratically constrained quadratic programming (QCQP) problem, which is efficiently resolved by using multiple constraints relaxation technique. Simulation results demonstrate that the proposed method outperforms other state-of-the-arts methods including well-controlled mainbeam and superior target detection performance. [ABSTRACT FROM AUTHOR]
- Subjects :
- *QUADRATIC programming
*PROBLEM solving
*MIMO radar
*TUNED mass dampers
Subjects
Details
- Language :
- English
- ISSN :
- 14348411
- Volume :
- 112
- Database :
- Academic Search Index
- Journal :
- AEU: International Journal of Electronics & Communications
- Publication Type :
- Academic Journal
- Accession number :
- 139505600
- Full Text :
- https://doi.org/10.1016/j.aeue.2019.152958