DOA estimation algorithm based on compressed-sensing

Abstract

A novel kind of method using in the DOA estimate of array signal processing is proposed. This method is based on constructing matrix with random selection of the rows of DFT transformation matrix. Such matrix satisfies the RIP condition (restricted isometry property). Due to the sparsity of space signal, the amount of array sensor is reduced significantly, which results in a lower complexity of the array system. SVD decomposition is used in processing the sampling signal to minimize its dimension and the final performance is much better than traditional algorithms. © 2012 Springer Science+Business.