In this paper, a resolution-enhanced direction of arrival (DOA) estimation technique is proposed, as an extension to subspace-based DOA estimation methods. Through nonlinear mapping, the source separation is effectively increased for θ in [-0.28π,0.28π].Thus, the resolution capability of the DOA estimations methods can be enhanced when the proposed technique is applied. Simulation results show the proposed technique performs better than the conventional MUSIC algorithm for closely spaced sources when scenarios deteriorate.
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