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Electromagnetic diffraction tomography based on Wi-Fi signals EI
会议论文 | 2024 , 1555-1558 | 7th IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2024
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Abstract :

Wi-Fi imaging achieves object perception in the form of images by analyzing Wi-Fi signals and their channel response. To solve the modeling problem of Wi-Fi imaging, a method based on Wi-Fi electromagnetic diffraction tomography is proposed. Firstly, the Wi-Fi communication system is mathematically modeled, which contains a channel model and channel state information(CSI) indicator, and the CSI matrix of the Wi-Fi system is highlighted. Secondly, the electromagnetic diffraction tomography physical model and its mathematical principles are analyzed, and the imaging algorithm is proposed. Then the hardware platform of the system was built, and the software modification and debugging were carried out. Finally, the CSI was acquired by this hardware system, and this data was processed, including the removal of outliers, noise reduction, and phase correction, and subsequently reconstructed into a clearer contour map by the Wi-Fi electromagnetic diffraction tomography algorithm. © 2024 IEEE.

Keyword :

Channel state information Channel state information Diffraction Diffraction Image reconstruction Image reconstruction Program debugging Program debugging Tomography Tomography Wi-Fi Wi-Fi Wireless local area networks (WLAN) Wireless local area networks (WLAN)

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GB/T 7714 Zhang, Shuo , Qian, Hui . Electromagnetic diffraction tomography based on Wi-Fi signals [C] . 2024 : 1555-1558 .
MLA Zhang, Shuo 等. "Electromagnetic diffraction tomography based on Wi-Fi signals" . (2024) : 1555-1558 .
APA Zhang, Shuo , Qian, Hui . Electromagnetic diffraction tomography based on Wi-Fi signals . (2024) : 1555-1558 .
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高精度Sigma-Delta调制器设计
期刊论文 | 2024 , (1) , 15-19 | 仪表技术
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近年来,在过采样型模数转换器中,Sigma-Delta模数转换器以其较高的精度成为模数转换器的热点.介绍了一种高精度低功耗的Sigma-Delta调制器设计.使用Matlab工具完成三阶一位量化CIFF结构的系统仿真,在系统级仿真结果的指导下,积分器采用分级结构优化电路结构.积分器电路模块设计采用了全差分式开关电容电路,抑制了谐波失真对输出精度的影响.仿真结果显示:5 S/s挡位时,对应的PVT组合中最低有效位数为 17.67 bits;2 kS/s挡位时,对应的PVT组合中最低有效位数为 15.89 bits,整个调制器功耗低于 3 mW.通过改进调制器整体架构、积分器结构和量化器的设计方法,降低了调制器功耗,提升了调制器精度.

Keyword :

Sigma-Delta调制器 Sigma-Delta调制器 低功耗 低功耗 双挡位 双挡位 过采样型模数转换器 过采样型模数转换器 高精度 高精度

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GB/T 7714 赵丹 , 钱慧 . 高精度Sigma-Delta调制器设计 [J]. | 仪表技术 , 2024 , (1) : 15-19 .
MLA 赵丹 等. "高精度Sigma-Delta调制器设计" . | 仪表技术 1 (2024) : 15-19 .
APA 赵丹 , 钱慧 . 高精度Sigma-Delta调制器设计 . | 仪表技术 , 2024 , (1) , 15-19 .
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Robust unrolled network for lensless imaging with enhanced resistance to model mismatch and noise Scopus
期刊论文 | 2024 , 32 (17) , 30267-30283 | Optics Express
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Lensless imaging has gained popularity in various applications due to its userfriendly nature, cost-effectiveness, and compact design. However, achieving high-quality image reconstruction within this framework remains a significant challenge. Lensless imaging measurements are associated with distinct point spread functions (PSFs), resulting in many PSFs introducing artifacts into the underlying physical model. This discrepancy between the actual and prior models poses challenges for standard reconstruction methods to effectively address high-quality image reconstruction by solving a regularization-based inverse problem. To overcome these issues, we propose MN-FISTA-Net, an unrolled neural network that unfolds the fast iterative shrinkage/thresholding algorithm for solving mixed norm regularization with a deep denoiser prior. Our method enhances mask-based lensless imaging performance by efficiently addressing noise and model mismatch, as evidenced by significant improvements in image quality compared to existing approaches. © 2024 Optica Publishing Group.

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GB/T 7714 Qian, H. , Ling, H. , Lu, X. . Robust unrolled network for lensless imaging with enhanced resistance to model mismatch and noise [J]. | Optics Express , 2024 , 32 (17) : 30267-30283 .
MLA Qian, H. 等. "Robust unrolled network for lensless imaging with enhanced resistance to model mismatch and noise" . | Optics Express 32 . 17 (2024) : 30267-30283 .
APA Qian, H. , Ling, H. , Lu, X. . Robust unrolled network for lensless imaging with enhanced resistance to model mismatch and noise . | Optics Express , 2024 , 32 (17) , 30267-30283 .
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A High Dynamic Range Feedback Compensation Front-End for Unlimited Sampling ASDM ADC CPCI-S
期刊论文 | 2024 | 2024 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, ISCAS 2024
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Abstract :

The development of the novel theory of unlimited sampling (US) has enabled analog-to-digital converters (ADCs) to effectively manage input signals with dynamic ranges that far exceed the threshold voltage. However, the existing design of the US asynchronous sigma-delta modulator ADC (US-ASDM-ADC) employs a nonlinear modulo operation within a two-channel architecture to generate the remainder and integer parts, leading to significant amplitude loss due to non-ideal phenomena. To address this issue, we propose a novel single-channel architecture and feedback compensation mechanism for the US-ASDM-ADC. Our approach entails a single-channel folding module to generate the remaining modulo operation while simultaneously generating the integer part of the modulo operation and initiating amplitude correction via a Schmitt trigger-based feedback system. We validate our proposed approach through transistor-level simulations.

Keyword :

amplitude compensation amplitude compensation asynchronous sigma-delta modulator asynchronous sigma-delta modulator Schmidt trigger Schmidt trigger Unlimited sampling Unlimited sampling

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GB/T 7714 Dan, Binqiang , Qian, Hui , Wang, Zhongfeng . A High Dynamic Range Feedback Compensation Front-End for Unlimited Sampling ASDM ADC [J]. | 2024 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, ISCAS 2024 , 2024 .
MLA Dan, Binqiang 等. "A High Dynamic Range Feedback Compensation Front-End for Unlimited Sampling ASDM ADC" . | 2024 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, ISCAS 2024 (2024) .
APA Dan, Binqiang , Qian, Hui , Wang, Zhongfeng . A High Dynamic Range Feedback Compensation Front-End for Unlimited Sampling ASDM ADC . | 2024 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, ISCAS 2024 , 2024 .
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Video-rate Radio Tomographic Imaging with Virtual Fingerprint Scopus
期刊论文 | 2024 , 74 (2) , 1-16 | IEEE Transactions on Vehicular Technology
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Abstract :

Radio tomographic Imaging (RTI) provides highprecision localization of targets in a monitoring area by exploiting the relationship between target location and radio link attenuation. Most recent RTI approaches leverage pre-processing and data-driven strategies to improve the accuracy of moving targets. However, these approaches suffer from limitations such as training time and low frame rate, which constrain RTI to quickly and accurately localize the moving target. To address these limitations, we develop a coarse-to-fine RTI (CF-RTI) system that achieves a maximum frame rate of 29 frames per second (fps), surpassing the minimum requirement of 16 fps for a typical RGB camera while maintaining remarkable accuracy and resolution. First, CF-RTI enables high frame rate imaging by constructing a visual fingerprint database that establishes connections between target locations and potentially affected links, thereby enabling multi-step acquisition, reconstruction, and estimation. Second, the multi-step processing exploits the knowledge gained from localization efforts during acquisition processing, enabling high-quality imaging by rapidly identifying and collecting measurements from the target&#x0027;s affected links. Finally, the experimental results show that our CF-RTI can achieve centimeter-level positioning accuracy and a maximum frame rate of 29 fps while using only 9&#x0025; of the traditional RTI measurements. The maximum frame rate of our CF-RTI is comparable to that of standard RGB cameras. These results suggest that our CF-RTI has excellent potential for implementing RTI techniques in real-world scenarios IEEE

Keyword :

alternating direction method of multiplier alternating direction method of multiplier coarse-to-fine coarse-to-fine Device-free localization Device-free localization Fingerprint recognition Fingerprint recognition Fresnel reflection Fresnel reflection Fresnel zone Fresnel zone Image reconstruction Image reconstruction Imaging Imaging Location awareness Location awareness Measurement uncertainty Measurement uncertainty Radio links Radio links radio tomographic imaging radio tomographic imaging

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GB/T 7714 Qian, H. , Zhang, S. , Yu, Y. et al. Video-rate Radio Tomographic Imaging with Virtual Fingerprint [J]. | IEEE Transactions on Vehicular Technology , 2024 , 74 (2) : 1-16 .
MLA Qian, H. et al. "Video-rate Radio Tomographic Imaging with Virtual Fingerprint" . | IEEE Transactions on Vehicular Technology 74 . 2 (2024) : 1-16 .
APA Qian, H. , Zhang, S. , Yu, Y. , Lu, X. . Video-rate Radio Tomographic Imaging with Virtual Fingerprint . | IEEE Transactions on Vehicular Technology , 2024 , 74 (2) , 1-16 .
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A New ACD-OMP Accelerator With Clustered Computing Look-Ahead SCIE
期刊论文 | 2023 | IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
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Abstract :

The orthogonal matching pursuit (OMP) has been widely explored to realize real-time compressed sensing (CS) reconstruction. The matrix pseudo-inverse of the least squares (LSs) is the most computationally complex operation in the OMP. Among various algorithms to realize this complex operation, the alternative Cholesky decomposition (ACD) algorithm performs the best. However, it typically involves a very long computation time due to its iterative procedure. To accelerate the ACD-OMP algorithm, a novel method called clustered computing look-ahead (CCL) is proposed. Inspired by the famous parallel carry look-ahead adder (CLA), CCL adds a propagation matrix to decouple the data dependency in ACD and then uses a clustering operator to transform the iterative computation of ACD into a pipelined and parallelized computation. This brief also proposes an efficient hardware architecture of the CCL-based ACD-OMP algorithm for CS reconstruction. The proposed algorithm is implemented on field programmable gate array (FPGA). For sparse signals with the same sparsity and length, the proposed implementation is 1.96 times faster than state-of-the-art work.

Keyword :

Alternative Cholesky decomposition (ACD) Alternative Cholesky decomposition (ACD) Clustering algorithms Clustering algorithms Computer architecture Computer architecture field programmable gate array (FPGA) field programmable gate array (FPGA) Field programmable gate arrays Field programmable gate arrays Hardware Hardware look-ahead look-ahead Matching pursuit algorithms Matching pursuit algorithms Matrix decomposition Matrix decomposition orthogonal matching pursuit (OMP) orthogonal matching pursuit (OMP) Sparse matrices Sparse matrices

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GB/T 7714 She, Rongrong , Qian, Hui , Wang, Zhongfeng . A New ACD-OMP Accelerator With Clustered Computing Look-Ahead [J]. | IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS , 2023 .
MLA She, Rongrong et al. "A New ACD-OMP Accelerator With Clustered Computing Look-Ahead" . | IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS (2023) .
APA She, Rongrong , Qian, Hui , Wang, Zhongfeng . A New ACD-OMP Accelerator With Clustered Computing Look-Ahead . | IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS , 2023 .
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基于无镜头成像的目标检测分类方法
期刊论文 | 2023 , 13 (12) , 26-28,35 | 物联网技术
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Abstract :

为了适应新型物联网设备对于小体积的要求,提出一种基于无镜头成像的检测分类方法.基于摄像头的计算机视觉处理任务目前已可集成到各种硬件设备中,然而随着物联网技术的快速发展,笨重的镜头已无法满足小体积的要求.无镜头成像技术是一种新型成像技术,其通过编码掩膜取代传统相机镜头而大大减小了相机体积和成本.本文通过分析无镜头成像基本原理与图像重构方法,并将其与神经网络联合,实现了基于无镜头成像的目标检测分类.实验使用VGG19 网络进行了测试,证明了该方法的可行性.

Keyword :

VGG19 VGG19 图像重构 图像重构 新型物联网 新型物联网 无镜头成像 无镜头成像 目标检测分类 目标检测分类 神经网络 神经网络 编码掩膜 编码掩膜

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GB/T 7714 姜继兴 , 钱慧 . 基于无镜头成像的目标检测分类方法 [J]. | 物联网技术 , 2023 , 13 (12) : 26-28,35 .
MLA 姜继兴 et al. "基于无镜头成像的目标检测分类方法" . | 物联网技术 13 . 12 (2023) : 26-28,35 .
APA 姜继兴 , 钱慧 . 基于无镜头成像的目标检测分类方法 . | 物联网技术 , 2023 , 13 (12) , 26-28,35 .
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基于时域计算优化TDC的模拟数字转换器设计
期刊论文 | 2023 , 6 (05) , 28-33 | 仪表技术
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提出一种基于时间域计算的模拟数字转换器,将输入的模拟信号经锯齿波与比较器电路转变为时间域信号,并对时间域信号进行高精度采集以完成模数转换;使用数字逻辑电路替换模拟电路完成模数转换功能,以达到在信号采集系统中替代高性能模拟数字转换器(ADC)的优化设计。提出了基于可编程门阵列(FPGA)实现时间触发器(TFF)的设计方案,利用更精细的基础器件对时间域信号进行存储和计算,实现脉宽扩展,以提高时间数字转换器(TDC)的采集精度。使用TFF对时间信号进行处理,减少了使用进位延时链构建的传统TDC在输入待测量信号时因多次采集和控制而带来的误差。实验表明:在Xilinx Artix-7 FPGA平台下,时间测量精度在22 ps以上;当采样频率为50 kHz时,采样精度可达20 bit,稳定工作精度为18 bit。

Keyword :

时域计算 时域计算 时间数字转换器 时间数字转换器 时间触发器 时间触发器 模数转换器 模数转换器 现场可编程门阵列 现场可编程门阵列

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GB/T 7714 胡兴元 , 钱慧 . 基于时域计算优化TDC的模拟数字转换器设计 [J]. | 仪表技术 , 2023 , 6 (05) : 28-33 .
MLA 胡兴元 et al. "基于时域计算优化TDC的模拟数字转换器设计" . | 仪表技术 6 . 05 (2023) : 28-33 .
APA 胡兴元 , 钱慧 . 基于时域计算优化TDC的模拟数字转换器设计 . | 仪表技术 , 2023 , 6 (05) , 28-33 .
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基于菲涅尔先验模型的无线电层析成像
期刊论文 | 2023 , 13 (12) , 46-49 | 物联网技术
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得益于无线通信以及数据科学的飞速发展,物联网智能终端拥有了无源感知的能力.Device Free Localization(DFL)是一种重要的无线电无源感知技术之一,十多年来已经有大量研究,具有广阔的发展前景.基于RSSI的射频层析成像(RTI)方法因其成本低、部署方便等优点备受关注.然而,需要大量的观测样本是目前无线电层析成像难以实现实时成像的主要原因.利用压缩感知技术虽然可以有效降低RTI所需观测向量的数量,但是由此导致RTI性能急剧下降,难以满足无设备定位的应用需求.针对这一问题,本文构建了基于菲涅尔区的无线电传输经验模型,预先确定受目标影响的无线链路,极大减少了采集系统的样本数,提高了成像的实时性.实验结果表明,本系统将样本数减少至8.42%左右,仍然能够保持高定位精度.

Keyword :

ADMM算法 ADMM算法 免设备定位DFL 免设备定位DFL 共稀疏解析模型 共稀疏解析模型 无线电层析成像RTI 无线电层析成像RTI 智能物联网应用 智能物联网应用 菲涅尔区模型 菲涅尔区模型

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GB/T 7714 余毓鑫 , 钱慧 . 基于菲涅尔先验模型的无线电层析成像 [J]. | 物联网技术 , 2023 , 13 (12) : 46-49 .
MLA 余毓鑫 et al. "基于菲涅尔先验模型的无线电层析成像" . | 物联网技术 13 . 12 (2023) : 46-49 .
APA 余毓鑫 , 钱慧 . 基于菲涅尔先验模型的无线电层析成像 . | 物联网技术 , 2023 , 13 (12) , 46-49 .
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一种四分之一速率时钟数据恢复电路设计
期刊论文 | 2023 , 32 (09) , 44-49 | 中国集成电路
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近年来,时钟数据恢复(Clock and Data Recovery,CDR)电路在高速通信中发挥着非常重要的作用。本文介绍了一种用于非归零(Non-Return to Zero,NRZ)码的无参考时钟四分之一速率的CDR电路。设计了满足四分之一速率的鉴相器(Phase Detector,PD),并采用SMIC 180nm工艺搭建完整电路系统进行仿真验证。

Keyword :

NRZ NRZ 四分之一速率鉴相器 四分之一速率鉴相器 无参考时钟 无参考时钟 时钟数据恢复 时钟数据恢复

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GB/T 7714 李登基 , 钱慧 . 一种四分之一速率时钟数据恢复电路设计 [J]. | 中国集成电路 , 2023 , 32 (09) : 44-49 .
MLA 李登基 et al. "一种四分之一速率时钟数据恢复电路设计" . | 中国集成电路 32 . 09 (2023) : 44-49 .
APA 李登基 , 钱慧 . 一种四分之一速率时钟数据恢复电路设计 . | 中国集成电路 , 2023 , 32 (09) , 44-49 .
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