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一种基于平行稀疏阵列虚拟孔洞填充的二维DOA估计算法
王嘉伟,杨赟秀,陈文东,舒勤
0
(1.四川大学 电气工程学院,成都 610065;2.西南技术物理研究所,成都 610045;3.北京遥感设备研究所,北京 100005)
摘要:
采用稀疏阵列进行波达方向(Direction of Arrival,DOA)估计时往往会产生虚拟孔洞,它严重限制了阵列孔径的扩展与阵元自由度的提升。由于孔洞位置与初始阵列阵元数目、排布方式有关,故较难对其进行预填充。为此,提出了一种基于平行稀疏阵列虚拟孔洞填充的二维DOA估计算法,利用双稀疏线阵扩展生成两个不同的虚拟阵列,并利用其中一阵的信息去填充另一阵的孔洞。为尽可能减少总阵元数目,采用提前计算的孔洞位置去设计另一阵列的排布规则,并通过求根多重信号分类(Root-Mutiple Signal Classification,Root-MUSIC)算法替代传统的二维谱峰搜索算法完成对入射角度的估计与自动匹配。实验仿真结果验证了所提算法相比传统算法能以更少的阵元获得更高的估计精度。
关键词:  稀疏阵列  二维DOA估计  虚拟孔洞填充  协方差矩阵
DOI:10.20079/j.issn.1001-893x.220516001
基金项目:
A Low Complexity Two-dimensional DOA Estimation Algorithm Based on Virtual Hole Filling via Parallel Sparse Array
WANG Jiawei,YANG Yunxiu,CHEN Wendong,SHU Qin
(1.College of Electrical Engineering,Sichuan University,Chengdu 610065,China;2.Southwest Institute of Technical Physics,Chengdu 610041,China;3.Beijing Institute of Remote Sensing Equipment,Beijing 100005,China)
Abstract:
Direction-of-arrival(DOA) estimation process based on sparse arrays often produces virtual holes,which seriously limits the expansion of array aperture and improvement of the degree of freedoms(DOFs) of array sensors.Because the position of the holes is related to the number and arrangement of the physical array,it is difficult to pre-fill it.Given this,a low complexity two-dimension(2D) DOA estimation algorithm based on virtual hole filling via parallel sparse array is proposed,which uses two sparse linear arrays to obtain two different virtual arrays,and uses the information of one virtual array to fill the holes of the other virtual array.To minimize the total number of array sensors,the virtual hole position of one physical array calculated in advance is applied to design the arrangement of another physical array.Root-Multiple Signal Classification(Root-MUSIC) algorithm is adopted to replace the traditional 2D spectral peak search algorithm to complete the estimation and automatic matching of angles.Simulation results show that the proposed algorithm can obtain higher estimation accuracy with fewer physical sensors than the traditional algorithm.
Key words:  sparse array  2D DOA estimation  virtual hole filling  covariance matrix