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26 April 2024 |
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Article overview
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Joint Robust Transmit/Receive Adaptive Beamforming for MIMO Radar Using Probability-Constrained Optimization | Weiyu Zhang
; Sergiy A. Vorobyov
; | Date: |
10 Aug 2015 | Abstract: | A joint robust transmit/receive adaptive beamforming for multiple-input
multipleoutput (MIMO) radar based on probability-constrained optimization
approach is developed in the case of Gaussian and arbitrary distributed
mismatch present in both the transmit and receive signal steering vectors. A
tight lower bound of the probability constraint is also derived by using
duality theory. The formulated probability-constrained robust beamforming
problem is nonconvex and NP-hard. However, we reformulate its cost function
into a bi-quadratic function while the probability constraint splits into
transmit and receive parts. Then, a block coordinate descent method based on
second-order cone programming is developed to address the biconvex problem.
Simulation results show an improved robustness of the proposed beamforming
method as compared to the worst-case and other existing state-of-the-art joint
transmit/receive robust adaptive beamforming methods for MIMO radar. | Source: | arXiv, 1508.2212 | Services: | Forum | Review | PDF | Favorites |
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