Reconfigurable Intelligent Surface Aided Sparse DOA Estimation Method With Non-ULA

Chen, Peng; Yang, Zihao; Chen, Zhimin; Guo, Ziyu

doi:10.1109/lsp.2021.3116789

Cited by 34 publications

(13 citation statements)

References 17 publications

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“…In recent years, IRS is also a research hotspot in collaborative target detection. To pursue the low-cost direction of arrival (DOA) estimation of the radar detection system, a low-cost system with only one complete functional receiver is given by changing the phases of the reflected signals at the IRS elements to realize the multiple measurements in [8], in which the DOA estimation by exploiting the target sparsity in the spatial domain and solved by a semi-definite programming (SDP) method. In [9], a changeling DOA estimation problem is addressed with only one full-functional receiving channel.…”

Section: The Research Backgroundmentioning

confidence: 99%

Spectral and energy efficiency analysis of IRS-assisted dual UAVs detection system

Liu,

Yang,

Che

et al. 2023

2022 Workshop on Electronics Communication Engineering

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This letter analyzes the spectral and energy efficiency of an intelligent reflecting surface (IRS)-assisted the dual unmanned aerial vehicles (UAVs) in target detection with hardware support, where devices first harvest energy from a power station (PS) in the downlink (DL) and then transmit information to a data sink in the uplink (UL). However, in order to increase the spectral efficiency, most existing works on dual UAVs adopted the simplified linear energyharvesting methodology and also cannot guarantee the detection performance. To improve system property, we optimize the beamforming coefficients on the basis of improved semidefinite relaxation (SDR) to minimize the total transmit power subject to the signal-to-noise (SNR) of the receiving antenna reaches the standard. Moreover, we analyze the energy saving effect of optimized system. The simulation results show that with the increased number of elements in the IRS, the proposed method has better detection probability and higher energy efficiency.

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Section: The Research Backgroundmentioning

confidence: 99%

Spectral and energy efficiency analysis of IRS-assisted dual UAVs detection system

Liu,

Yang,

Che

et al. 2023

2022 Workshop on Electronics Communication Engineering

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“…Direction-nding technology has made great progress in array signal processing in recent decades, and many excellent direction-nding algorithms have been proposed and played important roles in various elds [1][2][3][4]. In [5], a conventional multiple signal classi cation (MUSIC) method was modi ed to estimate multiple angles of the sources in imperfectly calibrated scenario.…”

Section: Introductionmentioning

confidence: 99%

Direction-Finding Using Co-prime Array under Impulsive Noise

Sha

Cui

2022

Mathematical Problems in Engineering

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In order to achieve more accurate estimates of the existing direction-finding approaches under impulsive noise, a robust direction-finding algorithm using a coprime array is proposed in this work. In order to suppress the strong impulsive noise, we introduce an infinite norm normalization approach, and on this basis, a weighted signal subspace fitting equation using a coprime array is derived. Furthermore, we propose a quantum-inspired moth-flame algorithm to minimize the derived weighted signal subspace fitting function. Simulation results represent that our direction-finding method has the most excellent performance compared to other conventional methods. Besides, our method can address coherent sources without any additional approach.

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“…RIS can intelligently reconstruct the propagation environment of electromagnetic waves to a desirable form [5] with several positive intrinsicnegative (PIN) diodes integrated into RIS units. Based on this characteristic, RIS is a more flexible tool for source localization in complex NLOS situations [6,7]. Ref.…”

Section: Introductionmentioning

confidence: 99%

Low-Cost Beamforming and DOA Estimation Based on One-Bit Reconfigurable Intelligent Surface

Yang

Chen

Guo

et al. 2022

IEEE Signal Process. Lett.

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In this work, we consider the Direction-of-Arrival (DOA) estimation problem in a low-cost architecture where only one antenna as the receiver is aided by a reconfigurable intelligent surface (RIS). We introduce the one-bit RIS as a signal reflector to enhance signal transmission in non-line-ofsight (NLOS) situations and substantially simplify the physical hardware for DOA estimation. We optimize the beamforming scheme called measurement matrix to focus the echo power on the receiver with the coarse localization information of the targets as the prior. A beamforming scheme based on the modified genetic algorithm is proposed to optimize the measurement matrix, guaranteeing restricted isometry property (RIP) and meeting single beamforming requirements. The DOA results are finely estimated by solving an atomic-norm based sparse reconstruction problem. Simulation results show that the proposed method outperforms the existing methods in the DOA estimation performance.

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Reconfigurable Intelligent Surface Aided Sparse DOA Estimation Method With Non-ULA

Cited by 34 publications

References 17 publications

Spectral and energy efficiency analysis of IRS-assisted dual UAVs detection system

Spectral and energy efficiency analysis of IRS-assisted dual UAVs detection system

Direction-Finding Using Co-prime Array under Impulsive Noise

Low-Cost Beamforming and DOA Estimation Based on One-Bit Reconfigurable Intelligent Surface

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