Side Lobe Control Method in Subarray Beamforming Based on Randomly Staggered Combination Array
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摘要: 为了降低水下大型声呐阵列波束形成算法的工程实现难度, 可采用阵元级分区波束扫描模式的大型平面阵列, 无需改变每个扫描分区内的阵元幅相权, 仅通过子阵级数字波束形成即可完成阵列的波束扫描。但该模式会带来高旁瓣问题。针对此, 文中提出一种基于规则子阵的随机错位组合阵列设计方法, 打破现有研究方法中错位量为整数倍阵元间距的限制, 利用遗传算法同时对子阵相邻列错位量与子阵级权系数进行联合优化, 以主旁瓣比作为适应度函数, 使得综合方向图最高旁瓣最低, 从而降低了由于子阵级大阵元间距带来的栅瓣效应。仿真结果表明, 采用随机错位的子阵结构, 优化后的阵型和权系数能够有效避免大分区下带来的高旁瓣, 在不同分区内都能获得较高的主旁瓣比, 对于旁瓣的控制效果优于现有错位组合阵列方法, 验证了随机错位组合阵列设计优化方法的有效性。Abstract: In order to reduce the difficulty of engineering implementation of the underwater large-scale sonar array beamforming algorithm, a large planar array with element-level partitioned beam scanning mode can be adopted, without changing the weight of amplitude and phase of the array element in each scanning partition, and only the subarray-level digital beamforming is adopted, then the beam scanning of the array can be completed. However, this mode will bring high side lobe problems. To solve this problem, a new method of randomly staggered combination array based on regular subarray division is proposed, which breaks the limit of the existing research method that the offset is an integer multiple of the element spacing, and uses genetic algorithm to simultaneously optimize the offset of adjacent columns of the subarray and the subarray-level weight coefficients. The main side lobe ratio is used as the fitness function. Hence, the highest side lobe of the integrated pattern is the lowest and the grating lobe effect caused by the large element spacing at the subarray level is reduced. The simulation results show that the use of random staggered subarray structure, the optimized formation and weight coefficients can effectively avoid the high side lobe in large partitions and obtain a higher main side lobe ratio in different partitions. The control effect of the side lobes is better than that of the existing staggered combination array method, which verifies the effectiveness of the proposed method.
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