基于分布式稀疏理论的高分辨阵列测向

High Resolution Array Direction Estimation Based on Distributed Sparse Representation

针对常规波束形成受限于阵列孔径的瑞利限而不能实现高分辨率估计这一问题,提出了一种基于分布式稀疏理论的高分辨测向方法。该方法首先结合分布式稀疏优化理论对多周期阵列测向问题进行了建模,将阵列测向问题转变成了稀疏表示优化问题;然后通过交替方向迭代优化策略获得了该优化问题的解,从而得到高分辨率的角度估计。仿真实验有效验证了所提方法在计算复杂度以及测角精度方面的优势。

An innovative direction of arrival （DOA） estimation method is established. For convention- al DOA methods such as beamforming, the angle resolution is constrained within a Rayleigh cell. Taking advantage of the distributed sparsity of the scene, the proposed method could convert the DOA estimation problem into an issue finding the solution of an optimization problem. A fast robust ap- proach based on the alternative direction method （ADM） is presented. Simulated results are carried out to prove the superior performance of this method in computational complexity and resolution.