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作 者:许海韵 崔维嘉[1] 李浩[1] 巴斌[1] 张立业 XU Haiyun;CUI Weijia;LI Hao;BA Bin;ZHANG Liye(Information Engineering University,Zhengzhou 450001,China)
机构地区:[1]信息工程大学,河南郑州450001
出 处:《信息工程大学学报》2022年第6期648-655,共8页Journal of Information Engineering University
基 金:国家自然科学基金资助项目(62171468)。
摘 要:现有稀疏阵型设计主要基于嵌套阵与互质阵模型,但由于对两直线阵组阵的规律研究不充分,导致波达方向估计精度较低。为解决此问题,开展基于两直线阵组阵的稀疏阵型设计研究。首先,建立稀疏阵型阵元位置模型;然后,依次分析子阵阵元间距、子阵阵元数、子阵间距等参数与稀疏阵虚拟阵列孔径的关系;最后,给出在固定阵元数下,获取最大孔径的参数设置。通过性能分析,所提阵型可表示现有两直线阵组阵的稀疏阵型,验证了设计有效。同时,通过仿真实验证明,所提阵型可实现信源数大于阵元数的欠定估计并获得高精度的波达方向估计结果。Currently the design of sparse arrays is mainly based on nested linear array and coprime linear array, which, due to the inadequate study for sparse array design using two uniform linear arrays(ULAs), has a low accuracy for direction-of-arrival(DOA). To solve this problem, the research on the sparse array design using two ULAs(SA-U2) has been conducted. Firstly, the model of SA-U2 is established. Then, the relationships between the virtual array aperture and subarray inter-element spacing, subarray sensor number and displacement of subarrays are presented. Finally, with a fixed number of sensors, the parameters for solving the maximum virtual array aperture are given. Performance analysis shows that SA-U2 includes the existing sparse arrays using two ULAs, proving the effectiveness of the design. Moreover, the simulation experiments prove that SA-U2 can estimate the number of signals more than that of sensors and can obtain the high-precision DOA.
分 类 号:TN911.7[电子电信—通信与信息系统]
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