Bibliographic Details
| Title: |
Optimization of Sparse Planar Arrays with Minimum Spacing and Geographic Constraints in Smart Ocean Applications. |
| Authors: |
Hao, Shijie, Ge, Feng-Xiang, Yu, Xianxiang, Cui, Guolong, Ma, Li |
| Source: |
Sensors (14248220); Jan2019, Vol. 19 Issue 1, p11, 1p |
| Subject Terms: |
MOBILE apps, ALGORITHMS, SIGNAL processing, MATHEMATICAL optimization, SIMULATION methods & models |
| Abstract: |
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. [ABSTRACT FROM AUTHOR] |
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