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Volume 43 Issue 5
May  2021
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Pengcheng GONG, Zhaobin WANG, Haiming TAN, Wenqin WANG. Joint Design of the Transmit and Receive Beamforming via Alternating Direction Method of Multipliers for LPI of Frequency Diverse Array MIMO Radar in the Presence of Clutter[J]. Journal of Electronics & Information Technology, 2021, 43(5): 1267-1274. doi: 10.11999/JEIT200445
Citation: Pengcheng GONG, Zhaobin WANG, Haiming TAN, Wenqin WANG. Joint Design of the Transmit and Receive Beamforming via Alternating Direction Method of Multipliers for LPI of Frequency Diverse Array MIMO Radar in the Presence of Clutter[J]. Journal of Electronics & Information Technology, 2021, 43(5): 1267-1274. doi: 10.11999/JEIT200445

Joint Design of the Transmit and Receive Beamforming via Alternating Direction Method of Multipliers for LPI of Frequency Diverse Array MIMO Radar in the Presence of Clutter

doi: 10.11999/JEIT200445
Funds:  The National Natural Science Foundation of China (62071172), The Natural Science Foundation of Hubei Province (2018CFB545), The Open Foundation of Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System (HBSEES202001)
  • Received Date: 2020-06-04
  • Rev Recd Date: 2020-11-05
  • Available Online: 2020-11-11
  • Publish Date: 2021-05-18
  • In view of the limitation of the phased-array on suppressing the range-dependent interference, a joint design of the transmit and receive beamforming via the Alternating Direction Method of Multipliers (ADMM) method for Low Probability of Intercept (LPI) of Multiple-Input Multiple-Output with Frequency Diverse Array (FDA-MIMO) radar in the presence of clutter is proposed. The problem of joint design is to maximize the performance of target parameter estimation, and minimize the transmit energy at the target region which enhances LPI capability. Following a weighted sum of the performance metric, the original problem is firstly recasts to a multiple-ratio Fractional Programming (FP) problem. Subsequently, an iterative algorithm is developed. Concretely, at each iteration, the transmit beamforming matrix is optimized by employing ADMM method and the quadratic approximation algorithm. Moreover, the computational complexity of the proposed algorithm is discussed. Numerical simulations are provided to demonstrate the effectiveness of the proposed algorithm.
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