Multiple‐input multiple‐output with frequency diverse array radar transmit beamforming design for low‐probability‐of‐intercept in cluttered environments
Abstract Multiple‐input multiple‐output with frequency diverse array (FDA‐MIMO) radar has drawn great attention due to providing the range‐angle beampattern via designing the transmit beamforming matrix. In this work, the authors investigate the transmit beamforming matrix optimization for Low‐Proba...
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| Format: | Article |
| Language: | English |
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Wiley
2022-09-01
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| Series: | IET Signal Processing |
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| Online Access: | https://doi.org/10.1049/sil2.12112 |
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| author | Panke Jiang Pengcheng Gong Yuntao Wu Xiong Deng |
| author_facet | Panke Jiang Pengcheng Gong Yuntao Wu Xiong Deng |
| author_sort | Panke Jiang |
| collection | DOAJ |
| description | Abstract Multiple‐input multiple‐output with frequency diverse array (FDA‐MIMO) radar has drawn great attention due to providing the range‐angle beampattern via designing the transmit beamforming matrix. In this work, the authors investigate the transmit beamforming matrix optimization for Low‐Probability‐of‐Intercept (LPI) of FDA‐MIMO radar, which can accurately control the transmit beam energy to meet the LPI requirements and the clutter suppression. The idea of the transmit beamforming matrix design is to minimise the transmit power in a specific direction and simultaneously maximise the signal‐to‐interference‐plus‐noise ratio under the power constraint on each array element. To this end, a constrained multiple‐ratio fractional programming model with concerning the transmit beam matrix and the receive filter is first constructed, and then, it is transformed into two suboptimisation problems using a circular iterative approach. Moreover, the specific solution of the transmit beamforming matrix is obtained using the quadratic transformation method and the alternating direction method of multipliers algorithm. In addition, the computational complexity is also analysed in this paper. The simulation results demonstrate the correctness and effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-d6bc9c0db91b401c9fd636cb299304dc |
| institution | DOAJ |
| issn | 1751-9675 1751-9683 |
| language | English |
| publishDate | 2022-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Signal Processing |
| spelling | doaj-art-d6bc9c0db91b401c9fd636cb299304dc2025-08-20T03:23:39ZengWileyIET Signal Processing1751-96751751-96832022-09-0116781182010.1049/sil2.12112Multiple‐input multiple‐output with frequency diverse array radar transmit beamforming design for low‐probability‐of‐intercept in cluttered environmentsPanke Jiang0Pengcheng Gong1Yuntao Wu2Xiong Deng3School of Electrical and Electronic Engineering Hubei University of Technology Wuhan ChinaSchool of Computer Science and Engineering Wuhan Institute of Technology Wuhan ChinaSchool of Computer Science and Engineering Wuhan Institute of Technology Wuhan ChinaCenter for Information Photonics and Communications School of Information Science and Technology Southwest Jiaotong University Chengdu ChinaAbstract Multiple‐input multiple‐output with frequency diverse array (FDA‐MIMO) radar has drawn great attention due to providing the range‐angle beampattern via designing the transmit beamforming matrix. In this work, the authors investigate the transmit beamforming matrix optimization for Low‐Probability‐of‐Intercept (LPI) of FDA‐MIMO radar, which can accurately control the transmit beam energy to meet the LPI requirements and the clutter suppression. The idea of the transmit beamforming matrix design is to minimise the transmit power in a specific direction and simultaneously maximise the signal‐to‐interference‐plus‐noise ratio under the power constraint on each array element. To this end, a constrained multiple‐ratio fractional programming model with concerning the transmit beam matrix and the receive filter is first constructed, and then, it is transformed into two suboptimisation problems using a circular iterative approach. Moreover, the specific solution of the transmit beamforming matrix is obtained using the quadratic transformation method and the alternating direction method of multipliers algorithm. In addition, the computational complexity is also analysed in this paper. The simulation results demonstrate the correctness and effectiveness of the proposed method.https://doi.org/10.1049/sil2.12112ADMMFDAfractional programmingMIMO radartransmit beamformingmultiple signal classification |
| spellingShingle | Panke Jiang Pengcheng Gong Yuntao Wu Xiong Deng Multiple‐input multiple‐output with frequency diverse array radar transmit beamforming design for low‐probability‐of‐intercept in cluttered environments IET Signal Processing ADMM FDA fractional programming MIMO radar transmit beamforming multiple signal classification |
| title | Multiple‐input multiple‐output with frequency diverse array radar transmit beamforming design for low‐probability‐of‐intercept in cluttered environments |
| title_full | Multiple‐input multiple‐output with frequency diverse array radar transmit beamforming design for low‐probability‐of‐intercept in cluttered environments |
| title_fullStr | Multiple‐input multiple‐output with frequency diverse array radar transmit beamforming design for low‐probability‐of‐intercept in cluttered environments |
| title_full_unstemmed | Multiple‐input multiple‐output with frequency diverse array radar transmit beamforming design for low‐probability‐of‐intercept in cluttered environments |
| title_short | Multiple‐input multiple‐output with frequency diverse array radar transmit beamforming design for low‐probability‐of‐intercept in cluttered environments |
| title_sort | multiple input multiple output with frequency diverse array radar transmit beamforming design for low probability of intercept in cluttered environments |
| topic | ADMM FDA fractional programming MIMO radar transmit beamforming multiple signal classification |
| url | https://doi.org/10.1049/sil2.12112 |
| work_keys_str_mv | AT pankejiang multipleinputmultipleoutputwithfrequencydiversearrayradartransmitbeamformingdesignforlowprobabilityofinterceptinclutteredenvironments AT pengchenggong multipleinputmultipleoutputwithfrequencydiversearrayradartransmitbeamformingdesignforlowprobabilityofinterceptinclutteredenvironments AT yuntaowu multipleinputmultipleoutputwithfrequencydiversearrayradartransmitbeamformingdesignforlowprobabilityofinterceptinclutteredenvironments AT xiongdeng multipleinputmultipleoutputwithfrequencydiversearrayradartransmitbeamformingdesignforlowprobabilityofinterceptinclutteredenvironments |