Spectrally compatible multiple‐input multiple‐output radar waveform design based on alternating direction method of multipliers
Abstract Multiple‐input multiple‐output (MIMO) radar waveform design in a spectrally crowded environment is a challenging problem. In this study, the issue of MIMO radar waveform design in coexistence with communication systems is investigated by maximising the output signal‐to‐interference‐plus‐noi...
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| Main Authors: | , , , |
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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/sil2.12094 |
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| author | Rui Yang Hong Jiang Qi Zhang Liangdong Qu |
| author_facet | Rui Yang Hong Jiang Qi Zhang Liangdong Qu |
| author_sort | Rui Yang |
| collection | DOAJ |
| description | Abstract Multiple‐input multiple‐output (MIMO) radar waveform design in a spectrally crowded environment is a challenging problem. In this study, the issue of MIMO radar waveform design in coexistence with communication systems is investigated by maximising the output signal‐to‐interference‐plus‐noise ratio (SINR) of the MIMO radar under transmit energy, similarity and spectral compatibility constraints. Different from the existing alternating direction method of multipliers (ADMM) proposed in a single‐antenna scenario, a novel ADMM algorithm for spectrally compatible MIMO radar waveform design is proposed to efficiently tackle the non‐convex optimisation problem in both single‐antenna and multi‐antenna scenarios. Due to the decomposability of ADMM, only a few quadratic programming subproblems need to be solved during each iteration in the authors' algorithm, which reduces the computational complexity. In numerical simulations, the proposed ADMM algorithm is compared with the semidefinite relaxation algorithm and the existing ADMM algorithm in a single‐antenna scenario and a multi‐antenna scenario, respectively. It shows that the proposed ADMM algorithm can achieve almost the same performance as the two existing algorithms; however, it is computationally more efficient. |
| format | Article |
| id | doaj-art-b2c7dba8125545df9c73f4ffda6a8fa6 |
| institution | Kabale University |
| issn | 1751-9675 1751-9683 |
| language | English |
| publishDate | 2022-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Signal Processing |
| spelling | doaj-art-b2c7dba8125545df9c73f4ffda6a8fa62025-02-03T01:29:37ZengWileyIET Signal Processing1751-96751751-96832022-09-0116773774910.1049/sil2.12094Spectrally compatible multiple‐input multiple‐output radar waveform design based on alternating direction method of multipliersRui Yang0Hong Jiang1Qi Zhang2Liangdong Qu3College of Communication Engineering Jilin University Changchun ChinaCollege of Communication Engineering Jilin University Changchun ChinaCollege of Communication Engineering Jilin University Changchun ChinaCollege of Communication Engineering Jilin University Changchun ChinaAbstract Multiple‐input multiple‐output (MIMO) radar waveform design in a spectrally crowded environment is a challenging problem. In this study, the issue of MIMO radar waveform design in coexistence with communication systems is investigated by maximising the output signal‐to‐interference‐plus‐noise ratio (SINR) of the MIMO radar under transmit energy, similarity and spectral compatibility constraints. Different from the existing alternating direction method of multipliers (ADMM) proposed in a single‐antenna scenario, a novel ADMM algorithm for spectrally compatible MIMO radar waveform design is proposed to efficiently tackle the non‐convex optimisation problem in both single‐antenna and multi‐antenna scenarios. Due to the decomposability of ADMM, only a few quadratic programming subproblems need to be solved during each iteration in the authors' algorithm, which reduces the computational complexity. In numerical simulations, the proposed ADMM algorithm is compared with the semidefinite relaxation algorithm and the existing ADMM algorithm in a single‐antenna scenario and a multi‐antenna scenario, respectively. It shows that the proposed ADMM algorithm can achieve almost the same performance as the two existing algorithms; however, it is computationally more efficient.https://doi.org/10.1049/sil2.12094MIMO radarradar signal processing |
| spellingShingle | Rui Yang Hong Jiang Qi Zhang Liangdong Qu Spectrally compatible multiple‐input multiple‐output radar waveform design based on alternating direction method of multipliers IET Signal Processing MIMO radar radar signal processing |
| title | Spectrally compatible multiple‐input multiple‐output radar waveform design based on alternating direction method of multipliers |
| title_full | Spectrally compatible multiple‐input multiple‐output radar waveform design based on alternating direction method of multipliers |
| title_fullStr | Spectrally compatible multiple‐input multiple‐output radar waveform design based on alternating direction method of multipliers |
| title_full_unstemmed | Spectrally compatible multiple‐input multiple‐output radar waveform design based on alternating direction method of multipliers |
| title_short | Spectrally compatible multiple‐input multiple‐output radar waveform design based on alternating direction method of multipliers |
| title_sort | spectrally compatible multiple input multiple output radar waveform design based on alternating direction method of multipliers |
| topic | MIMO radar radar signal processing |
| url | https://doi.org/10.1049/sil2.12094 |
| work_keys_str_mv | AT ruiyang spectrallycompatiblemultipleinputmultipleoutputradarwaveformdesignbasedonalternatingdirectionmethodofmultipliers AT hongjiang spectrallycompatiblemultipleinputmultipleoutputradarwaveformdesignbasedonalternatingdirectionmethodofmultipliers AT qizhang spectrallycompatiblemultipleinputmultipleoutputradarwaveformdesignbasedonalternatingdirectionmethodofmultipliers AT liangdongqu spectrallycompatiblemultipleinputmultipleoutputradarwaveformdesignbasedonalternatingdirectionmethodofmultipliers |