2020
DOI: 10.1109/access.2020.2993908
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Construction of Projection Matrices Based on Non-Uniform Sampling Distribution for AoA Estimation

Abstract: A Non-Uniform Sampling (NUS) methodology is presented, which improves the Angle of Arrival (AoA) estimation accuracy. The proposed sampling methodology is applied to extract the collected data efficiently and to reduce the possible dependency within rows/columns of the Covariance / Correlation Matrix (CM). The new sampled matrix approach is utilized to form such a projection matrix in order to provide better resolution of angles of arrival for closely incident signals on the antenna array receiver and to incre… Show more

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Cited by 4 publications
(2 citation statements)
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References 49 publications
(54 reference statements)
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“…Once this goal is achieved, the next step is to sample N columns (i.e., the number of desired users) from the measured noise correlation matrix to construct the projection noise matrix. The challenge here is how to sample the N columns in such a way that can provide the best representation of the original matrix (i.e., R nn ) and extract the information about the signal parameters efficiently [32][33][34]. To this end, assume Q N represents the sampled matrix constructed by sampling N columns uniformly instead of sampling the first N columns straightforwardly.…”
Section: The Proposed Beamforming Algorithmmentioning
confidence: 99%
See 1 more Smart Citation
“…Once this goal is achieved, the next step is to sample N columns (i.e., the number of desired users) from the measured noise correlation matrix to construct the projection noise matrix. The challenge here is how to sample the N columns in such a way that can provide the best representation of the original matrix (i.e., R nn ) and extract the information about the signal parameters efficiently [32][33][34]. To this end, assume Q N represents the sampled matrix constructed by sampling N columns uniformly instead of sampling the first N columns straightforwardly.…”
Section: The Proposed Beamforming Algorithmmentioning
confidence: 99%
“…It can be clearly seen that the DOFs number of the Array Factor (AF) based on the proposed sampling criterion is much higher than the produced ones that sample only the first N columns of a noise correlation matrix. Therefore, to find the null ratio number, R, between these two criteria, the number of produced nulls in (32) is divided by (28), which yields:…”
Section: Degrees Of Freedom (Dofs) Theoretical Analysismentioning
confidence: 99%