Optimization of the Transmit Weighting Matrix for MIMO Radar Based on the Uniform Elemental Power Constraint

HUANG Zhongrui; SHI Yingchun; TANG Bo; QIN Lilong

doi:10.11999/JEIT210269

Volume 44 Issue 5

May 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(5): 1856-1864

HUANG Zhongrui, SHI Yingchun, TANG Bo, QIN Lilong. Optimization of the Transmit Weighting Matrix for MIMO Radar Based on the Uniform Elemental Power Constraint[J]. Journal of Electronics & Information Technology, 2022, 44(5): 1856-1864. doi: 10.11999/JEIT210269

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HUANG Zhongrui, SHI Yingchun, TANG Bo, QIN Lilong. Optimization of the Transmit Weighting Matrix for MIMO Radar Based on the Uniform Elemental Power Constraint[J]. Journal of Electronics & Information Technology, 2022, 44(5): 1856-1864. doi: 10.11999/JEIT210269

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Optimization of the Transmit Weighting Matrix for MIMO Radar Based on the Uniform Elemental Power Constraint

doi: 10.11999/JEIT210269

College of Electronic Engineering, National University of Defense Technology, Hefei 230037, China

Funds: The Natural Science Foundation of Anhui Province (1908085QF252), The Science Research Plan of National University of Defense Technology (JS20-08)

Received Date: 2021-04-02
Accepted Date: 2022-01-12
Rev Recd Date: 2022-01-10

Available Online: 2022-02-02

Publish Date: 2022-05-25

Abstract

Abstract

To improve the angle estimation performance of the MIMO (Multiple-Input-Multiple-Output) radar, the optimization of the transmit weighting matrix by setting the 2-norm error between the actual synthesized transmitting steering vector and the desired one as the objective function is studied in this paper. The maximization of the transmit power utilization can be enforced via imposing the uniform elemental power constraint on the formulation. Furthermore, a method based on the cyclic algorithm and improved Projection Descent and Retraction (PDR) is provided to settle the equivalent problem under the vectorization of the transmit weighting matrix. The closed solution can be achieved at each iteration, then the computational complexity is low of the proposed method. And the convergence can also be proved. The proposed method obtains the superior performance in angle estimation of MIMO radar based on focusing the transmit power into the desired spatial sector. Finally, simulation results are presented to verify the efficiency of the proposed method.
- MIMO (Multiple-Input-Multiple-Output) radar,
- Transmit weighting matrix,
- Transmit beampattern,
- Angle estimation,
- Projection Descent and Retraction (PDR)

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References(19)

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