Collaborative Direction of Arrival estimation by using Alternating Direction Method of Multipliers in distributed sensor array networks employing Sparse Bayesian Learning framework

Nurbas, Ekin; Onat, Emrah; Tuncer, T. Engin

doi:10.1016/j.dsp.2022.103739

Cited by 3 publications

(1 citation statement)

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“…Yeh et al [5] adapted this framework to 2-D settings by deploying a uniform planar array to handle coherent signals. Zoltowski [6] introduced IOP Publishing doi:10.1088/1742-6596/2806/1/012008 2 a 2-D unitary ESPRIT algorithm using a Uniform Rectangular Array (URA) for DOA estimation of coherent signals, yet its angle estimation precision is inherently constrained by the array aperture. Wong et al [7] innovated an ESPRIT algorithm based on a sparse array featuring two-dimensional spatial invariance, providing an enlarged aperture size and fewer elements relative to conventional planar arrays.…”

Section: Introductionmentioning

confidence: 99%

2-D DOA Estimation of Coherent Signals Using the Dual-Size Spreading Array

Li,

Cai

2024

J. Phys.: Conf. Ser.

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We introduce a novel approach for high-precision estimation of two-dimensional (2-D) Direction-of-Arrival (DOA) under conditions of coherent interference. This study innovatively devises an antenna configuration, termed the Dual-Size Spreading Array, specifically tailored to estimate DOAs in such environments. The method involves integrating a subarray with the primary array to create a Dual-Size Extended Array structure. This integration allows for a transformation of the covariance matrix into a new form, where its rank solely depends on the number of impinging waves. Both the subarray and primary array must have a scale no less than the number of incoming wavefronts. This proposed technique not only amplifies the effective aperture but also significantly reduces the computational intricacy associated with DOA estimation procedures. The efficacy of our methodology has been substantiated through simulation results, which demonstrate that it outperforms the conventional spatial smoothing techniques. Moreover, we provide several practical guidelines designed to enhance estimation accuracy while concurrently minimizing computational demands. In summary, this research presents an advanced solution that effectively addresses challenges in 2D DOA estimation under coherent scenarios, achieving improved performance and computational efficiency compared to existing methods.

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Section: Introductionmentioning

confidence: 99%