【摘要】 在现有的分布式目标波达方向估计方法中,绝大部分算法需要一维或二维搜索,而在不需搜索的特征分解类算法中,其DOA估计精度又受快摄数积累的影响。文中在对分布式目标的角信号密度函数进行合理假设基础上,利用波达方向参数在超完备基空间上的稀疏表示,在单次快摄情况下即可给出分布式目标中心波达方向的快速估计,算法在分布式目标快变环境下尤为有效。仿真结果证明了方法的有效性及可行性。更多还原

【Abstract】 In the existing distributed source direction-of-arrival(DOA) estimation algorithms,most of them need search in one-or two-dimensional space.For the class of eigendecomposition algorithms that do not need search,the estimated DOAs precision will be affected by the number of snapshots.In this paper,a reasonable assumption about the angular signal densities of distributed sources is made,then we treat the DOAs estimation problem as sparse signal representation in over-complete bases space.Then,a fast DOA estimation algorithm using single snapshot is designed.This technique is very useful in the fast varying scenario of distributed sources.The simulation results show the effectiveness and feasibility of our algorithm.更多还原