Design of an SVD engine for 8×8 MIMO precoding systems

Wu, Chun-Hun; Liu, Chin-Yi; Tsai, Pei–Yun

doi:10.1109/iscas.2017.8050313

Cited by 4 publications

(1 citation statement)

References 8 publications

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“…In the GTCS-P, GTCS-P OMP and modified GTCS-P algorithms, the large-dimension SVD requires extremely high complexity and is very difficult to be implemented in the hardware. Although there were some literature VLSI works on the SVD processors [23], [24], [25], their dimensions were at most 8 × 8, which is much smaller than that required for the single-pixel imaging system. For example, 22 × 22 SVD is required for the 32 × 32 image resolution in this work.…”

Section: ) 2d Compressive Sensing By Power Svdmentioning

confidence: 99%

FPGA-Based Tensor Compressive Sensing Reconstruction Processor for Terahertz Single-Pixel Imaging Systems

Wang

Hung

et al. 2022

IEEE Open J. Circuits Syst.

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Terahertz (THz) imaging system has great potentials for material identification, security screening, circuit inspection, bioinformatics and bio-imaging because it can penetrate various non-metallic materials and inhibits unique spectral fingerprints of a great variety of optically opaque materials in our daily lives. However, THz emitters and detectors are still extremely expensive. Therefore, the singlepixel compressive sensing imaging technique becomes a potential solution for the implementation of a THz imaging system. This paper presents a tensor-based single-pixel compressive sensing model and a reconstruction algorithm for THz single-pixel imaging systems based on the generalized tensor compressive sensing framework. To accelerate the THz image reconstruction, a low-complexity 2-D compressive sensing processor based on power singular value decomposition method (2DCS-PSVD) was designed and implemented in this paper. In the 32 × 32 single-pixel THz imaging system, the 2DCS-PSVD algorithm requires 78.9% complexity of the modified generalized tensor compressive sensing parallel algorithm (GTCS-P) with little image quality degradation. The 2DCS-PSVD processor was further designed and implemented in the Xilinx ZCU102 SOC FPGA plate-form. The proposed FPGA-based tensor-based compressive sensing processor achieved a throughput of 1127 frames/sec and had the highest normalized hardware efficiency compared to other state-of-the-art works in the literature.

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Section: ) 2d Compressive Sensing By Power Svdmentioning

confidence: 99%

FPGA-Based Tensor Compressive Sensing Reconstruction Processor for Terahertz Single-Pixel Imaging Systems

Wang

Hung

et al. 2022

IEEE Open J. Circuits Syst.

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Linear Precoding Techniques for MIMO Systems

Jayanthi¹,

Rachana²,

Ramya³

2021

Lecture Notes in Electrical Engineering

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Relay Assisted Max-SINR Transceiver Optimization Design for MIMO Interference Channels

Zhang

Zhou

et al. 2023

IEEE Trans. Veh. Technol.

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Holographic MIMO communication was proposed to sufficiently exploit the propagation characteristics of electromagnetic channels and boost the channel capacity. Unfortunately, the application of the electromagnetic theory to the electromagnetically large (compared to the wave-length) antenna arrays leads to a non-separable correlation structure for the smallscale fading due to the coupling effect between the transmit and receive antennas. Such a non-separable correlation structure poses challenging issues for characterizing the fundamental limits of holographic MIMO channels, which has not been tackled in the literature. In this paper, we investigate the distribution for the mutual information (MI) of holographic MIMO systems with the non-separable channel correlation, where both the line-ofsight and non-line-of-sight components are considered. We set up a central limit theorem for the MI by random matrix theory (RMT) and give the closed-form expressions for the mean and variance. The derived results are used to approximate the outage probability and reveal interesting physical insights regarding the impact of antenna spacing. It is shown that reducing antenna spacing will improve the ergodic MI and decrease the outage probability of holographic MIMO systems. The scaling law of the ergodic MI with respect to the antenna spacing is also derived. Numerical simulations validate the accuracy of the evaluation results.

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Design of an SVD engine for 8×8 MIMO precoding systems

Cited by 4 publications

References 8 publications

FPGA-Based Tensor Compressive Sensing Reconstruction Processor for Terahertz Single-Pixel Imaging Systems

FPGA-Based Tensor Compressive Sensing Reconstruction Processor for Terahertz Single-Pixel Imaging Systems

Linear Precoding Techniques for MIMO Systems

Relay Assisted Max-SINR Transceiver Optimization Design for MIMO Interference Channels

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