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学者姓名：钱慧
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Abstract ：
Radio tomographic Imaging (RTI) provides high-precision 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'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% 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.
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 (RTI) radio tomographic imaging (RTI)
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| GB/T 7714 | Qian, Hui , Zhang, Shuo , Yu, Yuxin et al. Video-Rate Radio Tomographic Imaging With Virtual Fingerprint [J]. | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY , 2025 , 74 (2) : 3141-3156 . |
| MLA | Qian, Hui et al. "Video-Rate Radio Tomographic Imaging With Virtual Fingerprint" . | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 74 . 2 (2025) : 3141-3156 . |
| APA | Qian, Hui , Zhang, Shuo , Yu, Yuxin , Lu, Xiaoqiang . Video-Rate Radio Tomographic Imaging With Virtual Fingerprint . | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY , 2025 , 74 (2) , 3141-3156 . |
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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 et al. "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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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 et al. "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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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. (c) 2024 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
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| GB/T 7714 | Qian, Hui , Ling, Hong , Lu, Xiaoqiang . Robust unrolled network for lensless imaging with enhanced resistance to model mismatch and noise [J]. | OPTICS EXPRESS , 2024 , 32 (17) : 30267-30283 . |
| MLA | Qian, Hui et al. "Robust unrolled network for lensless imaging with enhanced resistance to model mismatch and noise" . | OPTICS EXPRESS 32 . 17 (2024) : 30267-30283 . |
| APA | Qian, Hui , Ling, Hong , Lu, Xiaoqiang . 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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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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In this paper, we propose a novel sensing matrix design for the pulse-width modulation (PWM)-based analog-to-information converter (AIC), which obtains the digital feature of an analog signal rather than its sparse coefficients. The method firstly selects feature subsets by feature selection algorithm of support vector machines (SVMs) and then establishes the relationship between feature subsets and the vector of sensing matrix of PWM-based AIC. Then, a sensing matrix with a higher compression ratio can be obtained. The new optimized sensing matrix is mapped to the reference modulation sequence of the PWM-based AIC's modulation signal to obtain the PWM-based analog-to-feature converter (AFC). Experimental results show that the PWM-based AFC can reach 99.40% accuracy even when the compression ratio is higher than that of other literature.
Keyword ：
AIC AIC Analog-to-Feature converter Analog-to-Feature converter Compressed sensing Compressed sensing PWM PWM SVMs SVMs
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| GB/T 7714 | Guo, Chencheng , Qian, Hui , Hong, Baoling . FEATURE-BASED SENSING MATRIX DESIGN FOR ANALOG TO INFORMATION CONVERTERS [J]. | 2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) , 2022 : 1176-1180 . |
| MLA | Guo, Chencheng et al. "FEATURE-BASED SENSING MATRIX DESIGN FOR ANALOG TO INFORMATION CONVERTERS" . | 2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) (2022) : 1176-1180 . |
| APA | Guo, Chencheng , Qian, Hui , Hong, Baoling . FEATURE-BASED SENSING MATRIX DESIGN FOR ANALOG TO INFORMATION CONVERTERS . | 2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) , 2022 , 1176-1180 . |
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Along with the rise of edge computing (EC), the cooperation of EC nodes becomes critical, which fuels a growing demand for inter-EC-node (inter-ECN) transfers. Typically, data are transferred in an end-to-end (E2E) manner. However, bulk data, tight transfer deadline and bandwidth fragmentation make such transfers extremely difficult. In this paper, we incorporate multi-path routing and storage on EC nodes into the data transfer, and present an edge-storage-aided multi-path scheduling method (ESMP) for inter-ECN transfers across the EC-enabled optical metro network. ESMP splits the data into chunks and schedules them across link-disjoint routing paths with the help of EC storage. Specifically, within the same deadline for the whole data, a chunk can tolerate longer storing delay and hence can be temporarily stored on an intermediate EC node when its next hop is busy. As a result, a routing path can be split into time-independent sub-paths when the E2E provisioning fails. This improves both the throughput and the flexibility of each transfer. Besides, ESMP can dynamically adapt multi-path routing to balance the completion time and the bandwidth usage based on the current network state. Studies show that compared with the existing scheduling methods, ESMP can accommodate more transfers while reducing the completion time.
Keyword ：
Edge computing Edge computing multi-path routing multi-path routing optical metro networks optical metro networks scheduling scheduling storage storage
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| GB/T 7714 | Lin, Xiao , Lin, Huihuang , Ji, Shuo et al. An Edge-Storage-Aided Scheduling Method for Edge-Computing-Enabled Optical Metro Networks [J]. | 2022 27TH ASIA PACIFIC CONFERENCE ON COMMUNICATIONS (APCC 2022): CREATING INNOVATIVE COMMUNICATION TECHNOLOGIES FOR POST-PANDEMIC ERA , 2022 : 42-47 . |
| MLA | Lin, Xiao et al. "An Edge-Storage-Aided Scheduling Method for Edge-Computing-Enabled Optical Metro Networks" . | 2022 27TH ASIA PACIFIC CONFERENCE ON COMMUNICATIONS (APCC 2022): CREATING INNOVATIVE COMMUNICATION TECHNOLOGIES FOR POST-PANDEMIC ERA (2022) : 42-47 . |
| APA | Lin, Xiao , Lin, Huihuang , Ji, Shuo , Qian, Hui , Li, Jun , Yue, Shengnan . An Edge-Storage-Aided Scheduling Method for Edge-Computing-Enabled Optical Metro Networks . | 2022 27TH ASIA PACIFIC CONFERENCE ON COMMUNICATIONS (APCC 2022): CREATING INNOVATIVE COMMUNICATION TECHNOLOGIES FOR POST-PANDEMIC ERA , 2022 , 42-47 . |
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The finite rate of innovation(FRI) samples signal at rate of sub-Nyquist rate by using the known waveform structure, which has a wide application prospect in wideband information systems. However, in the real-world information system, the signal waveform structure is often distorted by the non-ideal factors, such as noise and long-distance transmission, which leads to fail to reconstruct the FRI waveform. According to the principle of waveform regeneration, an FRI reconstruction method based on long and short-term memory(LSTM) is proposed in this paper. This method replaces the sampling kernel of FRI sampling system by an automatic LSTM encoder, and the distorted waveform with unknown structure is obtained by off-line training. Thus, the waveform sequence is projected to a Dirac signature sequence. The FRI sampling and reconstruction of waveform distortion signal are realized. The results show that the proposed method can effectively reconstruct the FRI signals, which distorted by the multipath effect, by exploiting the standard annihilating filter. © 2022, Chinese Institute of Electronics. All right reserved.
Keyword ：
Brain Brain Cell proliferation Cell proliferation Information systems Information systems Information use Information use Long short-term memory Long short-term memory Signal encoding Signal encoding Signal reconstruction Signal reconstruction Signal sampling Signal sampling Waveform analysis Waveform analysis
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| GB/T 7714 | Liu, Di , Qian, Hui , Wang, Zhong-Feng . Reconstruction of Distorted Signal with Finite Innovation Rate Based on LSTM Feature Extraction [J]. | Acta Electronica Sinica , 2022 , 50 (1) : 217-225 . |
| MLA | Liu, Di et al. "Reconstruction of Distorted Signal with Finite Innovation Rate Based on LSTM Feature Extraction" . | Acta Electronica Sinica 50 . 1 (2022) : 217-225 . |
| APA | Liu, Di , Qian, Hui , Wang, Zhong-Feng . Reconstruction of Distorted Signal with Finite Innovation Rate Based on LSTM Feature Extraction . | Acta Electronica Sinica , 2022 , 50 (1) , 217-225 . |
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A low-complexity iterative hard thresholding (IHT) algorithm-based detector is proposed for the compressed orthogonal frequency division multiplexing with index modulation (OFDM-IM) system. To improve recovery accuracy and reduce the number of iterations, detection is embedded into the iterations of the IHT algorithm, and the block energy information is used to identify subblocks that are more likely to be error-recovered. Compared with the existing methods for improving spectral efficiency, the new method does not expand the detection search space and not need extra pseudo-inverse calculations during iterations. Theoretical and simulation results show that the proposed scheme can considerably reduce computational complexity while improving spectral efficiency and preserving significant BER performance gain.
Keyword ：
Compressed sensing (CS) Compressed sensing (CS) Detectors Detectors Indexes Indexes Iterative algorithms Iterative algorithms iterative hard thresholding (IHT) iterative hard thresholding (IHT) Modulation Modulation OFDM OFDM orthogonal frequency division multiplexing with index modulation (OFDM-IM) orthogonal frequency division multiplexing with index modulation (OFDM-IM) reduced-complexity detector reduced-complexity detector Symbols Symbols Table lookup Table lookup
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| GB/T 7714 | Hong, Baoling , Qian, Hui , Wang, Zhongfeng . Iterative Hard Thresholding Algorithm-Based Detector for Compressed OFDM-IM Systems [J]. | IEEE COMMUNICATIONS LETTERS , 2022 , 26 (9) : 2205-2209 . |
| MLA | Hong, Baoling et al. "Iterative Hard Thresholding Algorithm-Based Detector for Compressed OFDM-IM Systems" . | IEEE COMMUNICATIONS LETTERS 26 . 9 (2022) : 2205-2209 . |
| APA | Hong, Baoling , Qian, Hui , Wang, Zhongfeng . Iterative Hard Thresholding Algorithm-Based Detector for Compressed OFDM-IM Systems . | IEEE COMMUNICATIONS LETTERS , 2022 , 26 (9) , 2205-2209 . |
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在过去的几年中,WiFi的应用已经非常普遍.将其应用在对人的定位上是研究的主流趋势,其原理是WiFi信号辐射某个区域时,会有自己的信道和频率.目前,实现室内定位过程较为复杂,首先是确保是离线状态,其次是构建一定的特征库,并且还要考虑设备的兼容性.文章给出了一种新的定位系统,通过WiFi信号获取人体的数据,并对数据做一定的分离,最后根据参数确定人体的具体位置.
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| GB/T 7714 | 刘志森 , 陆培民 , 钱慧 . 基于WiFi的目标反射信号提取及定位算法 [J]. | 长江信息通信 , 2021 , 34 (2) : 49-51 . |
| MLA | 刘志森 et al. "基于WiFi的目标反射信号提取及定位算法" . | 长江信息通信 34 . 2 (2021) : 49-51 . |
| APA | 刘志森 , 陆培民 , 钱慧 . 基于WiFi的目标反射信号提取及定位算法 . | 长江信息通信 , 2021 , 34 (2) , 49-51 . |
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