Optimization of Sparse Planar Arrays with Minimum Spacing and Geographic Constraints in Smart Ocean Applications
Sparse arrays can fix array aperture with a reduced number of elements to maintain resolution while reducing cost. However, grating lobe suppression, high peak side-lobe level reduction (PSLL), and constraints on the location of the array elements in the practical deployment of arrays are challengin...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/1/11 |
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| author | Shijie Hao Feng-Xiang Ge Xianxiang Yu Guolong Cui Li Ma |
| author_facet | Shijie Hao Feng-Xiang Ge Xianxiang Yu Guolong Cui Li Ma |
| author_sort | Shijie Hao |
| collection | DOAJ |
| description | Sparse arrays can fix array aperture with a reduced number of elements to maintain resolution while reducing cost. However, grating lobe suppression, high peak side-lobe level reduction (PSLL), and constraints on the location of the array elements in the practical deployment of arrays are challenging problems. Based on simulated annealing, the element locations of a sparse planar array in smart ocean applications with minimum spacing and geographic constraints are optimized in this paper by minimizing the sum of PSLL. The robustness of the deployment-optimized spare planar array with mis-calibration is further considered. Numerical simulations show the effectiveness of the proposed solution. |
| first_indexed | 2024-04-11T13:45:13Z |
| format | Article |
| id | doaj.art-15164823f85547b4894e81431cefb947 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:45:13Z |
| publishDate | 2018-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-15164823f85547b4894e81431cefb9472022-12-22T04:21:07ZengMDPI AGSensors1424-82202018-12-011911110.3390/s19010011s19010011Optimization of Sparse Planar Arrays with Minimum Spacing and Geographic Constraints in Smart Ocean ApplicationsShijie Hao0Feng-Xiang Ge1Xianxiang Yu2Guolong Cui3Li Ma4College of Information Science and Technology, Beijing Normal University, Beijing 100875, ChinaCollege of Information Science and Technology, Beijing Normal University, Beijing 100875, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaKey Laboratory of Acoustic Environment, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, ChinaSparse arrays can fix array aperture with a reduced number of elements to maintain resolution while reducing cost. However, grating lobe suppression, high peak side-lobe level reduction (PSLL), and constraints on the location of the array elements in the practical deployment of arrays are challenging problems. Based on simulated annealing, the element locations of a sparse planar array in smart ocean applications with minimum spacing and geographic constraints are optimized in this paper by minimizing the sum of PSLL. The robustness of the deployment-optimized spare planar array with mis-calibration is further considered. Numerical simulations show the effectiveness of the proposed solution.https://www.mdpi.com/1424-8220/19/1/11sparse planar arrayminimum spacing constraintgeographic constraintsimulated annealing (SA)robust adaptive beamforming |
| spellingShingle | Shijie Hao Feng-Xiang Ge Xianxiang Yu Guolong Cui Li Ma Optimization of Sparse Planar Arrays with Minimum Spacing and Geographic Constraints in Smart Ocean Applications Sensors sparse planar array minimum spacing constraint geographic constraint simulated annealing (SA) robust adaptive beamforming |
| title | Optimization of Sparse Planar Arrays with Minimum Spacing and Geographic Constraints in Smart Ocean Applications |
| title_full | Optimization of Sparse Planar Arrays with Minimum Spacing and Geographic Constraints in Smart Ocean Applications |
| title_fullStr | Optimization of Sparse Planar Arrays with Minimum Spacing and Geographic Constraints in Smart Ocean Applications |
| title_full_unstemmed | Optimization of Sparse Planar Arrays with Minimum Spacing and Geographic Constraints in Smart Ocean Applications |
| title_short | Optimization of Sparse Planar Arrays with Minimum Spacing and Geographic Constraints in Smart Ocean Applications |
| title_sort | optimization of sparse planar arrays with minimum spacing and geographic constraints in smart ocean applications |
| topic | sparse planar array minimum spacing constraint geographic constraint simulated annealing (SA) robust adaptive beamforming |
| url | https://www.mdpi.com/1424-8220/19/1/11 |
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