Advancing Coherent Direction-of-Arrival Estimation in Coprime Sensor Arrays

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Arora Jasmineet Kaur Ranjeet, Veerendra Dakulagi

Abstract

Direction-of-Arrival (DOA) estimation plays a pivotal role in accurate spatial signal processing within sensor array systems. This paper introduces MUSICAP, a novel approach designed to advance DOA estimation specifically for coprime sensor arrays, focusing on coherent signal sources. MUSICAP utilizes an enhanced Capon beamformer tailored to amplify the detection capability of coherent signals originating from desired directions in coprime sensor array configurations. The customized beamformer generates highly focused sensor beams, refining the detection process significantly. Furthermore, a dedicated Beamformer module further enhances these sensor beams, aligning them closely with those produced by the modified Capon method. Through the integration of beams derived from both methodologies with the MUSIC algorithm, MUSICAP achieves precise DOA estimation, particularly effective for fully coherent signals. Simulation results illustrate the effectiveness of this approach in enhancing DOA estimation accuracy, surpassing conventional implementations of the MUSIC algorithm and other subspace methods in coprime sensor array contexts.

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