College of Information Science and Technology, Beijing Normal University, Beijing 100875, China.
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Sensors (Basel). 2018 Dec 20;19(1):11. doi: 10.3390/s19010011.
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.
稀疏阵可以用较少的元素来固定孔径，在降低成本的同时保持分辨率。然而，在实际的阵排布中，栅瓣抑制、高峰值旁瓣电平降低（PSLL）以及阵元位置的约束是具有挑战性的问题。本文基于模拟退火算法，通过最小化 PSLL 的和来优化智能海洋应用中具有最小间距和地理约束的稀疏平面阵的阵元位置。进一步考虑了失配情况下部署优化的稀疏平面阵的稳健性。数值仿真表明了所提出方案的有效性。
