论文标题
基于差异和共同阵列的相反和移动稀疏阵列方案
A Reversed and Shift Sparse Array Scheme based on the Difference and Sum Co-array
论文作者
论文摘要
提出了反向和移位（RAS）稀疏阵列方案，该方案基于差异和共同阵列（DSCA），并明显增强了识别源的能力。对于原始的嵌套阵列（NA）或共阵阵列（CPA），其差分共同阵列和Sum Co-array之间存在很大的重叠，这阻止了它获得高度自由度（DOFS）。由于这一事实，RAS方案旨在减少重叠，同时增加DOF以实现到达方向（DOA）估计。提出的方案对NA和CPA都是有效的。得出了物理传感器数量与连续DSCA传感器数量之间关系的闭合表达。与一些基于DSCA的代表性稀疏阵列相比，提出的一个可以实现更长的连续虚拟阵列。进行仿真实验以表现出RAS方案的增强DOA估计性能。
The reversed and shift (RAS) sparse array scheme, which is based on the difference and sum co-array (DSCA) and remarkably enhances the capability of identifying sources, is proposed. For the original nested array (NA) or co-prime array (CPA), there exists a large overlap between its difference co-array and sum co-array, which prevents it from obtaining high degrees of freedom (DOFs). Motivated by this fact, the RAS scheme is designed for reducing the overlap while increasing the DOFs for direction of arrival (DOA) estimation. The proposed scheme is effective for both NA and CPA. The closed-form expression for the relationship between the number of physical sensors and the number of consecutive DSCA sensors is derived. Compared with some representative DSCA based sparse arrays, the proposed one can achieve longer consecutive virtual array. Simulation experiments are carried out to exhibit the enhanced DOA estimation performance of RAS scheme.
