Sparse Andrew's Sine Norm Promoting Adaptive Algorithm under Non-Gaussian Noises

Hadi, Abdul; Huang, Xinqi; Ali, Burhan; Li, Yingsong

doi:10.1109/iceict55736.2022.9908826

Cited by 5 publications

(1 citation statement)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this letter, ANM is applied for DOA estimation. Meanwhile, in order to ensure the performance under various noise environments (not only Gaussian noises), Squared-Sine function is introduced as the cost function [14], and a DOA estimation based on joint Squared-Sine function and ANM (SS-ANM) is proposed. The proposed SS-ANM not only has good estimation accuracy, but also provides better steadystate performance than the existing techniques in different noise environments.…”

Section: Introductionmentioning

confidence: 99%

Joint Squared-Sine Function and ANM DOA Estimation for RIS-Based Sensing Systems

Li¹

2023

Preprint

View full text Add to dashboard Cite

<p>Reconfigurable intelligent surface (RIS) is an emerging technology for improving the performance of wireless communications. In this letter, a joint Squared-Sine function and atomic norm minimization (ANM), denoted as SS-ANM, is proposed for passive sensing assisted by RIS in wireless communication systems interfered by a wireless access point (AP). The proposed joint optimization is used to estimate the targets' direction-of-arrival (DOA), employing the spatial domain sparsity of the received signals. The optimal solution is achieved from the alternating direction method of multipliers (ADMM). With the help of the Squared-Sine function as the cost function, the proposed solution provides better estimation accuracy under various noises besides Gaussian noise, and meanwhile requires a lower computation complexity. Simulation results verify the superiority of the proposed joint minimization over existing DOA estimation methods.</p>

show abstract

Section: Introductionmentioning

confidence: 99%