关键词: 通信技术, DOA, 稀疏重构, 过完备基, FOCUSS, 奇异值分解

Abstract: This paper presents two kinds of high-resolution direction-of-arrival estimation methods based on signal sparse representation. A coarse-refined grid separation is created, which is used to structure the sparse representation of array covariance column vectors corresponding to overcomplete basis, respectively. Consequently, we employ removing and differencing method to suppress the inference of noise. A regularized FOCUSS algorithm with lp norm constraint is applied for sparse reconstruction. Further, we adopt singular value decomposition (SVD) and remove the singular value which is less than the threshold to reduce complexity as well as ill-posed problem of overcomplete basis. Simulation results validate the effectiveness and robustness of our proposed method.

Key words: Communications technology, DOA, Sparse reconstruction, Overcomplete basis, FOCUSS, SVD