A Novel Algorithm for Near-Field Signal DOA Estimation
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This paper presents a novel algorithm for near-field signal Direction of Arrival (DOA) estimation. The algorithm employs a uniform circular array (UCA) configuration and incorporates an enhanced signal subspace method to improve estimation accuracy. Key implementation aspects include array manifold vector computation for near-field scenarios and eigenvalue decomposition of the covariance matrix to extract signal subspace components. We conducted comprehensive simulations comparing the algorithm's performance against existing approaches, evaluating metrics such as root mean square error (RMSE) and resolution capability. The simulation results demonstrate superior accuracy and robustness, highlighting the algorithm's practical potential for real-world applications where near-field signal processing is required.
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