A New Approach for Fast DOA Estimation of Distributed Sources
Wanlin Yang · Modern Radar · 2008
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.