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Compressive sensing, or compressive sampling (for short, CS) is a novel sensing/sampling paradigm. With the rapid development of the theory and algorithms for sparse recovery in finite dimensions, compressive sensing has already inspired some notable investigation in the context of Direction Of Arrival (DOA) estimation. In this paper, we show how CS can be applied in the DOA estimation and be solved by the well-established toolbox, CVX. In order to ensure a high spatial resolution, thedoi:10.12783/dtetr/mcemic2016/9511 fatcat:ix3qukmr2vhmrpxvvsr3dvfc6m