This paper introduces alternating direction method of multipliers (ADMM) to decrease the computational workload of DOA estimation which uses the framework of compressive sensing, i.e., Basis Pursuit De-Noising (BPDN). BPDN transforms the DOA estimation problem to an optimization problem. And interior-point method (IPM) is traditionally used to solve this optimization problem. Though IPM can obtain an accurate solution, it suffers from huge computational complexity which limits the application of CS-DOA in real system. To decrease the computational workload of the solving procedure, We introduce ADMM to replace IPM in DOA estimation. The iterative procedure is decomposed into several small pieces so that their problem dimension is reduced. Compared with the conventional interior-point method, the proposed solver is more efficient and suitable for practical system. Simulation results validate the effectiveness of proposed approach.