Minimizing cosecant-squared pattern side lobe level of linear array antenna by genetic algorithm and optimizing feed network
This paper designs and synthesizes a 12-element linear array of microstrip patch antenna with cosecant-squared pattern for radar applications at the frequency 9.6 GHz. The antenna array consists of three microstrip sublayers including two lower sublayers designed for feed network, and radiating patc...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Sharifi, Mehdi [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022transfer abstract |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Editorial Board - 2016, München |
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| Übergeordnetes Werk: |
volume:145 ; year:2022 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.aeue.2021.154076 |
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| Katalog-ID: |
ELV056592825 |
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| 520 | |a This paper designs and synthesizes a 12-element linear array of microstrip patch antenna with cosecant-squared pattern for radar applications at the frequency 9.6 GHz. The antenna array consists of three microstrip sublayers including two lower sublayers designed for feed network, and radiating patches located on the upper sublayer which are excited through a slot in the ground plate. One of the most important advantages of this antenna array is the cross-polarization discrimination of less than −50 dB which is the result of removing undesirable and unwanted radiations caused by feed network. The Genetic Algorithm (GA) optimization method has been used to synthesize cosecant-squared pattern with considering the mutual coupling effect of array elements. In this method, the amplitude and phase of each element in the far field has been calculated by taking into account the mutual coupling effect, and applied in the optimization process. Finally, the feed network has been designed according to the amplitudes and phases obtained from the GA. The simulation results confirm the validity of all design and synthesis stages. | ||
| 520 | |a This paper designs and synthesizes a 12-element linear array of microstrip patch antenna with cosecant-squared pattern for radar applications at the frequency 9.6 GHz. The antenna array consists of three microstrip sublayers including two lower sublayers designed for feed network, and radiating patches located on the upper sublayer which are excited through a slot in the ground plate. One of the most important advantages of this antenna array is the cross-polarization discrimination of less than −50 dB which is the result of removing undesirable and unwanted radiations caused by feed network. The Genetic Algorithm (GA) optimization method has been used to synthesize cosecant-squared pattern with considering the mutual coupling effect of array elements. In this method, the amplitude and phase of each element in the far field has been calculated by taking into account the mutual coupling effect, and applied in the optimization process. Finally, the feed network has been designed according to the amplitudes and phases obtained from the GA. The simulation results confirm the validity of all design and synthesis stages. | ||
| 650 | 7 | |a Cosecant-squared radiation pattern |2 Elsevier | |
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10.1016/j.aeue.2021.154076 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001655.pica (DE-627)ELV056592825 (ELSEVIER)S1434-8411(21)00473-8 DE-627 ger DE-627 rakwb eng 610 VZ 370 VZ Sharifi, Mehdi verfasserin aut Minimizing cosecant-squared pattern side lobe level of linear array antenna by genetic algorithm and optimizing feed network 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper designs and synthesizes a 12-element linear array of microstrip patch antenna with cosecant-squared pattern for radar applications at the frequency 9.6 GHz. The antenna array consists of three microstrip sublayers including two lower sublayers designed for feed network, and radiating patches located on the upper sublayer which are excited through a slot in the ground plate. One of the most important advantages of this antenna array is the cross-polarization discrimination of less than −50 dB which is the result of removing undesirable and unwanted radiations caused by feed network. The Genetic Algorithm (GA) optimization method has been used to synthesize cosecant-squared pattern with considering the mutual coupling effect of array elements. In this method, the amplitude and phase of each element in the far field has been calculated by taking into account the mutual coupling effect, and applied in the optimization process. Finally, the feed network has been designed according to the amplitudes and phases obtained from the GA. The simulation results confirm the validity of all design and synthesis stages. This paper designs and synthesizes a 12-element linear array of microstrip patch antenna with cosecant-squared pattern for radar applications at the frequency 9.6 GHz. The antenna array consists of three microstrip sublayers including two lower sublayers designed for feed network, and radiating patches located on the upper sublayer which are excited through a slot in the ground plate. One of the most important advantages of this antenna array is the cross-polarization discrimination of less than −50 dB which is the result of removing undesirable and unwanted radiations caused by feed network. The Genetic Algorithm (GA) optimization method has been used to synthesize cosecant-squared pattern with considering the mutual coupling effect of array elements. In this method, the amplitude and phase of each element in the far field has been calculated by taking into account the mutual coupling effect, and applied in the optimization process. Finally, the feed network has been designed according to the amplitudes and phases obtained from the GA. The simulation results confirm the validity of all design and synthesis stages. Cosecant-squared radiation pattern Elsevier Genetic algorithm (GA) Elsevier Feed network Elsevier Microstrip antenna Elsevier Radar Elsevier Rezaei, Pejman oth Enthalten in Elsevier Editorial Board 2016 München (DE-627)ELV019902425 volume:145 year:2022 pages:0 https://doi.org/10.1016/j.aeue.2021.154076 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 145 2022 0 |
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10.1016/j.aeue.2021.154076 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001655.pica (DE-627)ELV056592825 (ELSEVIER)S1434-8411(21)00473-8 DE-627 ger DE-627 rakwb eng 610 VZ 370 VZ Sharifi, Mehdi verfasserin aut Minimizing cosecant-squared pattern side lobe level of linear array antenna by genetic algorithm and optimizing feed network 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper designs and synthesizes a 12-element linear array of microstrip patch antenna with cosecant-squared pattern for radar applications at the frequency 9.6 GHz. The antenna array consists of three microstrip sublayers including two lower sublayers designed for feed network, and radiating patches located on the upper sublayer which are excited through a slot in the ground plate. One of the most important advantages of this antenna array is the cross-polarization discrimination of less than −50 dB which is the result of removing undesirable and unwanted radiations caused by feed network. The Genetic Algorithm (GA) optimization method has been used to synthesize cosecant-squared pattern with considering the mutual coupling effect of array elements. In this method, the amplitude and phase of each element in the far field has been calculated by taking into account the mutual coupling effect, and applied in the optimization process. Finally, the feed network has been designed according to the amplitudes and phases obtained from the GA. The simulation results confirm the validity of all design and synthesis stages. This paper designs and synthesizes a 12-element linear array of microstrip patch antenna with cosecant-squared pattern for radar applications at the frequency 9.6 GHz. The antenna array consists of three microstrip sublayers including two lower sublayers designed for feed network, and radiating patches located on the upper sublayer which are excited through a slot in the ground plate. One of the most important advantages of this antenna array is the cross-polarization discrimination of less than −50 dB which is the result of removing undesirable and unwanted radiations caused by feed network. The Genetic Algorithm (GA) optimization method has been used to synthesize cosecant-squared pattern with considering the mutual coupling effect of array elements. In this method, the amplitude and phase of each element in the far field has been calculated by taking into account the mutual coupling effect, and applied in the optimization process. Finally, the feed network has been designed according to the amplitudes and phases obtained from the GA. The simulation results confirm the validity of all design and synthesis stages. Cosecant-squared radiation pattern Elsevier Genetic algorithm (GA) Elsevier Feed network Elsevier Microstrip antenna Elsevier Radar Elsevier Rezaei, Pejman oth Enthalten in Elsevier Editorial Board 2016 München (DE-627)ELV019902425 volume:145 year:2022 pages:0 https://doi.org/10.1016/j.aeue.2021.154076 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 145 2022 0 |
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10.1016/j.aeue.2021.154076 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001655.pica (DE-627)ELV056592825 (ELSEVIER)S1434-8411(21)00473-8 DE-627 ger DE-627 rakwb eng 610 VZ 370 VZ Sharifi, Mehdi verfasserin aut Minimizing cosecant-squared pattern side lobe level of linear array antenna by genetic algorithm and optimizing feed network 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper designs and synthesizes a 12-element linear array of microstrip patch antenna with cosecant-squared pattern for radar applications at the frequency 9.6 GHz. The antenna array consists of three microstrip sublayers including two lower sublayers designed for feed network, and radiating patches located on the upper sublayer which are excited through a slot in the ground plate. One of the most important advantages of this antenna array is the cross-polarization discrimination of less than −50 dB which is the result of removing undesirable and unwanted radiations caused by feed network. The Genetic Algorithm (GA) optimization method has been used to synthesize cosecant-squared pattern with considering the mutual coupling effect of array elements. In this method, the amplitude and phase of each element in the far field has been calculated by taking into account the mutual coupling effect, and applied in the optimization process. Finally, the feed network has been designed according to the amplitudes and phases obtained from the GA. The simulation results confirm the validity of all design and synthesis stages. This paper designs and synthesizes a 12-element linear array of microstrip patch antenna with cosecant-squared pattern for radar applications at the frequency 9.6 GHz. The antenna array consists of three microstrip sublayers including two lower sublayers designed for feed network, and radiating patches located on the upper sublayer which are excited through a slot in the ground plate. One of the most important advantages of this antenna array is the cross-polarization discrimination of less than −50 dB which is the result of removing undesirable and unwanted radiations caused by feed network. The Genetic Algorithm (GA) optimization method has been used to synthesize cosecant-squared pattern with considering the mutual coupling effect of array elements. In this method, the amplitude and phase of each element in the far field has been calculated by taking into account the mutual coupling effect, and applied in the optimization process. Finally, the feed network has been designed according to the amplitudes and phases obtained from the GA. The simulation results confirm the validity of all design and synthesis stages. Cosecant-squared radiation pattern Elsevier Genetic algorithm (GA) Elsevier Feed network Elsevier Microstrip antenna Elsevier Radar Elsevier Rezaei, Pejman oth Enthalten in Elsevier Editorial Board 2016 München (DE-627)ELV019902425 volume:145 year:2022 pages:0 https://doi.org/10.1016/j.aeue.2021.154076 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 145 2022 0 |
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10.1016/j.aeue.2021.154076 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001655.pica (DE-627)ELV056592825 (ELSEVIER)S1434-8411(21)00473-8 DE-627 ger DE-627 rakwb eng 610 VZ 370 VZ Sharifi, Mehdi verfasserin aut Minimizing cosecant-squared pattern side lobe level of linear array antenna by genetic algorithm and optimizing feed network 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper designs and synthesizes a 12-element linear array of microstrip patch antenna with cosecant-squared pattern for radar applications at the frequency 9.6 GHz. The antenna array consists of three microstrip sublayers including two lower sublayers designed for feed network, and radiating patches located on the upper sublayer which are excited through a slot in the ground plate. One of the most important advantages of this antenna array is the cross-polarization discrimination of less than −50 dB which is the result of removing undesirable and unwanted radiations caused by feed network. The Genetic Algorithm (GA) optimization method has been used to synthesize cosecant-squared pattern with considering the mutual coupling effect of array elements. In this method, the amplitude and phase of each element in the far field has been calculated by taking into account the mutual coupling effect, and applied in the optimization process. Finally, the feed network has been designed according to the amplitudes and phases obtained from the GA. The simulation results confirm the validity of all design and synthesis stages. This paper designs and synthesizes a 12-element linear array of microstrip patch antenna with cosecant-squared pattern for radar applications at the frequency 9.6 GHz. The antenna array consists of three microstrip sublayers including two lower sublayers designed for feed network, and radiating patches located on the upper sublayer which are excited through a slot in the ground plate. One of the most important advantages of this antenna array is the cross-polarization discrimination of less than −50 dB which is the result of removing undesirable and unwanted radiations caused by feed network. The Genetic Algorithm (GA) optimization method has been used to synthesize cosecant-squared pattern with considering the mutual coupling effect of array elements. In this method, the amplitude and phase of each element in the far field has been calculated by taking into account the mutual coupling effect, and applied in the optimization process. Finally, the feed network has been designed according to the amplitudes and phases obtained from the GA. The simulation results confirm the validity of all design and synthesis stages. Cosecant-squared radiation pattern Elsevier Genetic algorithm (GA) Elsevier Feed network Elsevier Microstrip antenna Elsevier Radar Elsevier Rezaei, Pejman oth Enthalten in Elsevier Editorial Board 2016 München (DE-627)ELV019902425 volume:145 year:2022 pages:0 https://doi.org/10.1016/j.aeue.2021.154076 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 145 2022 0 |
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10.1016/j.aeue.2021.154076 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001655.pica (DE-627)ELV056592825 (ELSEVIER)S1434-8411(21)00473-8 DE-627 ger DE-627 rakwb eng 610 VZ 370 VZ Sharifi, Mehdi verfasserin aut Minimizing cosecant-squared pattern side lobe level of linear array antenna by genetic algorithm and optimizing feed network 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper designs and synthesizes a 12-element linear array of microstrip patch antenna with cosecant-squared pattern for radar applications at the frequency 9.6 GHz. The antenna array consists of three microstrip sublayers including two lower sublayers designed for feed network, and radiating patches located on the upper sublayer which are excited through a slot in the ground plate. One of the most important advantages of this antenna array is the cross-polarization discrimination of less than −50 dB which is the result of removing undesirable and unwanted radiations caused by feed network. The Genetic Algorithm (GA) optimization method has been used to synthesize cosecant-squared pattern with considering the mutual coupling effect of array elements. In this method, the amplitude and phase of each element in the far field has been calculated by taking into account the mutual coupling effect, and applied in the optimization process. Finally, the feed network has been designed according to the amplitudes and phases obtained from the GA. The simulation results confirm the validity of all design and synthesis stages. This paper designs and synthesizes a 12-element linear array of microstrip patch antenna with cosecant-squared pattern for radar applications at the frequency 9.6 GHz. The antenna array consists of three microstrip sublayers including two lower sublayers designed for feed network, and radiating patches located on the upper sublayer which are excited through a slot in the ground plate. One of the most important advantages of this antenna array is the cross-polarization discrimination of less than −50 dB which is the result of removing undesirable and unwanted radiations caused by feed network. The Genetic Algorithm (GA) optimization method has been used to synthesize cosecant-squared pattern with considering the mutual coupling effect of array elements. In this method, the amplitude and phase of each element in the far field has been calculated by taking into account the mutual coupling effect, and applied in the optimization process. Finally, the feed network has been designed according to the amplitudes and phases obtained from the GA. The simulation results confirm the validity of all design and synthesis stages. Cosecant-squared radiation pattern Elsevier Genetic algorithm (GA) Elsevier Feed network Elsevier Microstrip antenna Elsevier Radar Elsevier Rezaei, Pejman oth Enthalten in Elsevier Editorial Board 2016 München (DE-627)ELV019902425 volume:145 year:2022 pages:0 https://doi.org/10.1016/j.aeue.2021.154076 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 145 2022 0 |
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Minimizing cosecant-squared pattern side lobe level of linear array antenna by genetic algorithm and optimizing feed network |
| ctrlnum |
(DE-627)ELV056592825 (ELSEVIER)S1434-8411(21)00473-8 |
| title_full |
Minimizing cosecant-squared pattern side lobe level of linear array antenna by genetic algorithm and optimizing feed network |
| author_sort |
Sharifi, Mehdi |
| journal |
Editorial Board |
| journalStr |
Editorial Board |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology 300 - Social sciences |
| recordtype |
marc |
| publishDateSort |
2022 |
| contenttype_str_mv |
zzz |
| container_start_page |
0 |
| author_browse |
Sharifi, Mehdi |
| container_volume |
145 |
| class |
610 VZ 370 VZ |
| format_se |
Elektronische Aufsätze |
| author-letter |
Sharifi, Mehdi |
| doi_str_mv |
10.1016/j.aeue.2021.154076 |
| dewey-full |
610 370 |
| title_sort |
minimizing cosecant-squared pattern side lobe level of linear array antenna by genetic algorithm and optimizing feed network |
| title_auth |
Minimizing cosecant-squared pattern side lobe level of linear array antenna by genetic algorithm and optimizing feed network |
| abstract |
This paper designs and synthesizes a 12-element linear array of microstrip patch antenna with cosecant-squared pattern for radar applications at the frequency 9.6 GHz. The antenna array consists of three microstrip sublayers including two lower sublayers designed for feed network, and radiating patches located on the upper sublayer which are excited through a slot in the ground plate. One of the most important advantages of this antenna array is the cross-polarization discrimination of less than −50 dB which is the result of removing undesirable and unwanted radiations caused by feed network. The Genetic Algorithm (GA) optimization method has been used to synthesize cosecant-squared pattern with considering the mutual coupling effect of array elements. In this method, the amplitude and phase of each element in the far field has been calculated by taking into account the mutual coupling effect, and applied in the optimization process. Finally, the feed network has been designed according to the amplitudes and phases obtained from the GA. The simulation results confirm the validity of all design and synthesis stages. |
| abstractGer |
This paper designs and synthesizes a 12-element linear array of microstrip patch antenna with cosecant-squared pattern for radar applications at the frequency 9.6 GHz. The antenna array consists of three microstrip sublayers including two lower sublayers designed for feed network, and radiating patches located on the upper sublayer which are excited through a slot in the ground plate. One of the most important advantages of this antenna array is the cross-polarization discrimination of less than −50 dB which is the result of removing undesirable and unwanted radiations caused by feed network. The Genetic Algorithm (GA) optimization method has been used to synthesize cosecant-squared pattern with considering the mutual coupling effect of array elements. In this method, the amplitude and phase of each element in the far field has been calculated by taking into account the mutual coupling effect, and applied in the optimization process. Finally, the feed network has been designed according to the amplitudes and phases obtained from the GA. The simulation results confirm the validity of all design and synthesis stages. |
| abstract_unstemmed |
This paper designs and synthesizes a 12-element linear array of microstrip patch antenna with cosecant-squared pattern for radar applications at the frequency 9.6 GHz. The antenna array consists of three microstrip sublayers including two lower sublayers designed for feed network, and radiating patches located on the upper sublayer which are excited through a slot in the ground plate. One of the most important advantages of this antenna array is the cross-polarization discrimination of less than −50 dB which is the result of removing undesirable and unwanted radiations caused by feed network. The Genetic Algorithm (GA) optimization method has been used to synthesize cosecant-squared pattern with considering the mutual coupling effect of array elements. In this method, the amplitude and phase of each element in the far field has been calculated by taking into account the mutual coupling effect, and applied in the optimization process. Finally, the feed network has been designed according to the amplitudes and phases obtained from the GA. The simulation results confirm the validity of all design and synthesis stages. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U |
| title_short |
Minimizing cosecant-squared pattern side lobe level of linear array antenna by genetic algorithm and optimizing feed network |
| url |
https://doi.org/10.1016/j.aeue.2021.154076 |
| remote_bool |
true |
| author2 |
Rezaei, Pejman |
| author2Str |
Rezaei, Pejman |
| ppnlink |
ELV019902425 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth |
| doi_str |
10.1016/j.aeue.2021.154076 |
| up_date |
2024-07-06T20:50:28.673Z |
| _version_ |
1803864274289819648 |
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|
| score |
7.399294 |