基于差集表遍历搜索的互素阵列DOA估计器

为降低波达方向(direction-of-arrival, DOA)估计中阵元硬件成本和阵元间耦合,提出基于差集表遍历搜索的互素稀疏阵列DOA估计器。该估计器兼顾低复杂度和高精度的特点。其低复杂度在于:仅需依据互素稀疏阵列的阵元坐标即可构造出差集表,以该差集表为指导,可实现观测阵元的协方差矩阵到Nyquist虚拟阵列协方差矩阵的快速转换,进而借助多信号分类分解实现多目标DOA估计;其高精度在于:差集表遍历搜索措施可提升信号子空间的维度,进而提高了空间谱分辨率。鉴于高频段、低波长的阵列信号处理应用日益展开,该DOA估计器具有较为广阔的应用前景。

DOA estimator based on difference set table traversal searching for co-prime arrays#br#

In order to cut down the hardware cost and reduce the inter element mutual coupling, a direction of arrival (DOA) estimator based on difference set table traversal searching for co-prime sparse arrays is proposed. This estimator concurrently possesses both low computational complexity and high precision. On the one hand, the low computational complexity lies in: the sensor coordinates in a sparse co prime array can be easily utilized to construct a difference set table; guided by this table, the observed array’s covariance matrix can be readily converted to the Nyquist virtual array’s covariance matrix, from which multiple objects’ final DOA estimation can be directly calculated by means of multiple signal classification decomposition. On the other hand, the high accuracy lies in: the proposed measure of difference set table traversal searching is able to enhance the dimension of the signal subspace, which actually improves the resolution of the spatial spectrum. In view of the tendency that the array signal processing applications in higher frequency band and shorter wavelength are increasingly widened, the proposed DOA estimator possesses a vast potential for future development.