哈尔滨工程大学学报2024，Vol.45Issue(3)：607-614,8.DOI:10.11990/jheu.202203027
嵌套阵的疏密子阵融合波达方向估计方法
Direction of arrival estimation method by fusing sparse and dense subarrays of nested array
摘要
Abstract
In order to improve estimation performance by effectively using the geometric structure of nested arrays containing sparse and dense subarrays,this paper proposes a DOA estimation method by finding directions on two subarrays and then merging them.Through theoretical analysis and practical cases,the results can clarify whether the direction finding results of two subarrays of the nested array can eliminate the ambiguity of source angle estima-tion.The results also determined whether matching errors accompanied the ambiguity resolution of the coprime ar-ray.First,the root-MUSIC method without peak search is used to solve the direction finding results on two subar-rays of nested arrays.Then,for the sparse subarray with N times the half-wavelength spacing between elements,it is deduced that the complex root can be opened for N times,thus obtaining a high-precision estimation with an am-biguity angle.Finally,the high-precision DOA estimation is obtained by combining the minimum variance criterion with the direction finding results of dense subarrays with low precision but no ambiguity.Compared with the existing algorithms of the nested array,this algorithm improves the accuracy and resolution of DOA estimation and reduces the computational complexity because it does not need the covariance of two subarrays.Furthermore,it can support the distributed configuration of nested arrays.Simulation results verify the effectiveness of the proposed algorithm.关键词
嵌套阵列/求根多重信号分类/方差融合/疏密子阵/波达方向估计/稀疏子阵/密集子阵/解模糊Key words
nested array/root-MUSIC/variance fusion/sparse and dense subarrays/direction of arrival estimation/sparse subarray/dense subarray/ambiguity resolution分类
信息技术与安全科学引用本文复制引用
王娜,赵宣植,刘增力,侯书画..嵌套阵的疏密子阵融合波达方向估计方法[J].哈尔滨工程大学学报,2024,45(3):607-614,8.基金项目
国家自然科学基金项目(61271007). （61271007）
