Optimization of Sparse Planar Arrays with Minimum Spacing and Geographic Constraints in Smart Ocean Applications

作     者：Hao, Shijie Ge, Feng-Xiang Yu, Xianxiang Cui, Guolong Ma, Li 

作者机构：Beijing Normal Univ Coll Informat Sci & Technol Beijing 100875 Peoples R China Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu 611731 Sichuan Peoples R China Chinese Acad Sci Inst Acoust Key Lab Acoust Environm Beijing 100190 Peoples R China 

出 版 物：《SENSORS》 (传感器)

年 卷 期：2019年第19卷第1期

页      面：11-11页

核心收录：

学科分类：0710[理学-生物学] 071010[理学-生物化学与分子生物学] 0808[工学-电气工程] 07[理学] 0804[工学-仪器科学与技术] 0703[理学-化学] 

基　　金：National Natural Science Foundation of China [61571048, 61431004] Key Laboratory of Acoustic Environment, Institute of Acoustics, Chinese Academy of Sciences and Acoustic Science and Technology Laboratory, Harbin Engineering University 

主　　题：sparse planar array minimum spacing constraint geographic constraint simulated annealing (SA) robust adaptive beamforming 

摘      要：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.