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Sidelobe suppression with constraint for MIMO radar via chaotic whale optimisation
Author(s) -
Yuan Pengliang,
Guo Chenjiang,
Zheng Qi,
Ding Jun
Publication year - 2018
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2017.4286
Subject(s) - chaotic , radar , constraint (computer aided design) , mimo , whale , computer science , control theory (sociology) , electronic engineering , engineering , telecommunications , beamforming , artificial intelligence , control (management) , biology , mechanical engineering , fishery
The beam system of multiple input and multiple output (MIMO) radar needs lower peak sidelobe level for reducing interference, in addition, broad nulls placed at undesired directions are also an alternative method. A hybrid method based on the whale optimisation algorithm is proposed to implement sidelobe suppression and broad nulls. To the best of the authors' knowledge, relative works based on the whale optimisation algorithm applied to MIMO radar are not reported so far. By introducing chaotic optimisation into the whale optimisation algorithm scheme, performance of origin algorithm is improved substantially in suppressing peak sidelobe level with constraint of broad nulls. Furthermore, it is found in the experiment that the proposed algorithm can avoid the premature of origin algorithm effectively, and only takes a short time during the optimum accomplishment. Finally, simulation results demonstrate the good performance of the proposed method.

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