随机声阵列分区编码多目标优化构型

Multi-objective Optimization Configuration of Random Acoustic Array Partition Coding

为解决多声源声阵列测量空间分辨力差、阵列构型复杂度高以及盲目性强的问题,提出一种分区编码多目标优化随机阵构型方法。基于声阵列测量及孔径理论,以多环同轴圆环阵为基础阵进行阵列分区,设置阵列分区方式及其结构约束,联合阵列性能评价参数构建多目标价值函数,构建候选点的分区编码和阵元分布均匀性的交叉算子,形成带有精英保留策略的快速非支配多目标优化算法,进行多目标求解得出最优随机阵构型。经仿真和实验验证,结果表明该方法可使阵列构型更简易精确,多声源空间分辨率更高。

To solve the problem of poor spatial resolution,high complexity and blindness of multi-source acoustic array measurement,a multi-objective optimization random array configuration method based on partitioned coding is proposed.Based on the acoustic array measurement and aperture theory,the multi coaxial ring array is used as the basic array for array partition.The array partition method and its structural constraints are set up.The multi-objective value function is constructed by combining the array performance evaluation parameters.The partition coding of candidate points and the cross operator of array element distribution uniformity are constructed.A fast non-dominated multi-objective optimization algorithm with elite retention strategy is formed.The optimal random array configuration is obtained by multiobjective solution.The simulation and experimental results show that this method makes the array configuration more simple and accurate,and the spatial resolution of multiple sound sources higher.