Design of sparse linear arrays by Monte Carlo importance sampling

被引：0
|
作者：
Kay, S [1 ]
机构：
[1] Univ Rhode Isl, Supratim Saha Dept Elect & Comp Engn, Kingston, RI 02881 USA
来源：
OCEANS 2000 MTS/IEEE - WHERE MARINE SCIENCE AND TECHNOLOGY MEET, VOLS 1-3, CONFERENCE PROCEEDINGS | 2000年
关键词：
linear arrays; Monte Carlo methods; global optimization methods; acoustic imaging;
D O I：
暂无
中图分类号：
U6 [水路运输]; P75 [海洋工程];
学科分类号：
0814 ; 081505 ; 0824 ; 082401 ;
摘要：
The formation of acoustic images in real-time requires an enormous computational burden. To alleviate this demand the use of sparse arrays for beamforming is mandated. The design of these arrays for adequate main-lobe width and low sidelobe level is a difficult nonlinear optimization problem. A new approach to the joint optimization of sensor placement and shading weights is discussed. Based on the concept of importance sampling the optimization method is presented and some examples given to illustrate its effectiveness.
引用
收藏
页码：1501 / 1507
页数：7
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