摘要
为使相控阵三维摄像声纳系统中的稀疏阵列在整个探测范围内都具有稳定的波束图性能,文中提出了一种兼顾远场与近场的稀疏阵列优化方法.首先通过对近场波束图的分析,构建了一种适合实际工程应用的近场稀疏阵列优化的能量函数,并对该能量函数加以简化,以减少优化过程的计算量,然后利用寻优算法对简化后的能量函数进行最小化寻优运算,从而得到满足近场需要的稀疏布阵结果.为进一步获得适用于远场的稀疏率更高的阵列,对近场稀疏阵列设计的结果进行了二次优化.利用该稀疏优化方法对一个100×100的二维矩形换能器阵列进行优化,并与现有文献方法进行了对比,结果表明文中方法获得的稀疏阵列在远场和近场条件下的各个探测距离都能提供期望的波束图性能,同时保持了与其他方法相近的稀疏率.
In order to attain stable and global beam-pattern characteristics of sparse arrays in phased-array 3D imaging sonar systems, an optimization method to design sparse arrays in both the far-field and the near-field conditions is proposed. In this method, first, based on the analyses of the near-field beam pattern, a new energy function is brought forward for the near-field sparse array optimization in practical engineering applications. Next, the function is simplified to reduce the computation load. Then, an appropriate near-field sparse array is obtained by minimizing the simplified energy function via an optimization process. Finally, a second-step optimization of the near-field sparse array is carried out to obtain an array with higher sparse ratio for far-field design. The proposed method is employed to optimize a 100x 100 rectangular planar transducer array, and the results are compared with those obtained by the existing methods. It is indicated that the proposed method helps to obtain sparse arrays possessing desired beam-pattern characteristics for both the far-field and the near-field design in random working ranges, with the sparse ratio being close to those of the existing methods.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2013年第1期29-37,共9页
Journal of South China University of Technology(Natural Science Edition)
基金
国家"863"计划项目(2010AA09Z104)
浙江大学中央高校基本科研业务费专项资金资助项目(2011FZA5004)
关键词
相控阵三维摄像声纳
稀疏阵列优化
波束图
能量函数
二次优化
phased-array 3D imaging sonar
sparse array optimization
beam pattern
energy function
second- step optimization
