arXiv - EE - Signal Processing最新文献_第10页

Benchmarking and Validation of Sub-mW 30GHz VG-LNAs in 22nm FDSOI CMOS for 5G/6G Phased-Array Receivers 用于 5G/6G 相控阵接收器的 22nm FDSOI CMOS 30GHz VG-LNA 的基准测试和验证

arXiv - EE - Signal Processing Pub Date : 2024-09-11 DOI: arxiv-2409.07069

Domenico Zito, Michele Spasaro

{"title":"Benchmarking and Validation of Sub-mW 30GHz VG-LNAs in 22nm FDSOI CMOS for 5G/6G Phased-Array Receivers","authors":"Domenico Zito, Michele Spasaro","doi":"arxiv-2409.07069","DOIUrl":"https://doi.org/arxiv-2409.07069","url":null,"abstract":"Next-generation (5G/6G) wireless systems demand low-power mm-wave\u0000phased-array ICs. Variable-gain LNAs (VGLNAs) are key building blocks enabling\u0000hardware complexity reduction, performance enhancement and functionality\u0000extension. This paper reports a performance benchmarking of two low-power 30GHz\u0000VG-LNAs for phased-array ICs, which provide a 7.5dB gain control for 18dB\u0000Taylor taper in a 30GHz 8x8 antenna array, for a comprehensive validation of\u0000the new class of VGLNAs and its design methodology. In particular, this paper\u0000reports a second and implementation (VG-LNA2) with a reduced number (four) of\u0000gain-control back-gate voltages and super-low-Vt MOSFETs, with respect to the\u0000previous first implementation (VG-LNA1) with six gain-control back-gate\u0000voltages and regular- Vt MOSFETs, both in the same 22nm FDSOI CMOS technology.\u0000The results show that VG-LNA2 exhibits performance comparable to those of\u0000VG-LNA1, with a slightly lower power consumption. Overall, the performance\u0000benchmarking shows that the design methodology adopted for the new class of\u0000VG-LNAs leads to record low-power consumption and small form factor solutions\u0000reaching the targeted performances, regardless of the arrangements of the\u0000back-gate voltages for gain control and transistor sets, resulting in a\u0000comprehensive validation of the innovative design features and effective design\u0000methodology.","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142175962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Online Graph Filtering Over Expanding Graphs 扩展图的在线图过滤

arXiv - EE - Signal Processing Pub Date : 2024-09-11 DOI: arxiv-2409.07204

Bishwadeep Das, Elvin Isufi

引用次数: 0

Symbol Level Precoding for Systems with Improper Gaussian Interference 具有不适当高斯干扰的系统的符号级预编码

arXiv - EE - Signal Processing Pub Date : 2024-09-11 DOI: arxiv-2409.07034

Lu Liu, Rang Liu, Ly V. Nguyen, A. Lee Swindlehurst

{"title":"Symbol Level Precoding for Systems with Improper Gaussian Interference","authors":"Lu Liu, Rang Liu, Ly V. Nguyen, A. Lee Swindlehurst","doi":"arxiv-2409.07034","DOIUrl":"https://doi.org/arxiv-2409.07034","url":null,"abstract":"This paper focuses on precoding design in multi-antenna systems with improper\u0000Gaussian interference (IGI), characterized by correlated real and imaginary\u0000parts. We first study block level precoding (BLP) and symbol level precoding\u0000(SLP) assuming the receivers apply a pre-whitening filter to decorrelate and\u0000normalize the IGI. We then shift to the scenario where the base station (BS)\u0000incorporates the IGI statistics in the SLP design, which allows the receivers\u0000to employ a standard detection algorithm without pre-whitenting. Finally we\u0000address the case where the channel and statistics of the IGI are unknown, and\u0000we formulate robust BLP and SLP designs that minimize the worst case\u0000performance in such settings. Interestingly, we show that for BLP, the\u0000worst-case IGI is in fact proper, while for SLP the worst case occurs when the\u0000interference signal is maximally improper, with fully correlated real and\u0000imaginary parts. Numerical results reveal the superior performance of SLP in\u0000terms of symbol error rate (SER) and energy efficiency (EE), especially for the\u0000case where there is uncertainty in the non-circularity of the jammer.","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142175957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Constructing an Interpretable Deep Denoiser by Unrolling Graph Laplacian Regularizer 通过展开图拉普拉奇正则构建可解释的深度去噪器

arXiv - EE - Signal Processing Pub Date : 2024-09-10 DOI: arxiv-2409.06676

Seyed Alireza Hosseini, Tam Thuc Do, Gene Cheung, Yuichi Tanaka

{"title":"Constructing an Interpretable Deep Denoiser by Unrolling Graph Laplacian Regularizer","authors":"Seyed Alireza Hosseini, Tam Thuc Do, Gene Cheung, Yuichi Tanaka","doi":"arxiv-2409.06676","DOIUrl":"https://doi.org/arxiv-2409.06676","url":null,"abstract":"An image denoiser can be used for a wide range of restoration problems via\u0000the Plug-and-Play (PnP) architecture. In this paper, we propose a general\u0000framework to build an interpretable graph-based deep denoiser (GDD) by\u0000unrolling a solution to a maximum a posteriori (MAP) problem equipped with a\u0000graph Laplacian regularizer (GLR) as signal prior. Leveraging a recent theorem\u0000showing that any (pseudo-)linear denoiser $boldsymbol Psi$, under mild\u0000conditions, can be mapped to a solution of a MAP denoising problem regularized\u0000using GLR, we first initialize a graph Laplacian matrix $mathbf L$ via\u0000truncated Taylor Series Expansion (TSE) of $boldsymbol Psi^{-1}$. Then, we\u0000compute the MAP linear system solution by unrolling iterations of the conjugate\u0000gradient (CG) algorithm into a sequence of neural layers as a feed-forward\u0000network -- one that is amenable to parameter tuning. The resulting GDD network\u0000is \"graph-interpretable\", low in parameter count, and easy to initialize thanks\u0000to $mathbf L$ derived from a known well-performing denoiser $boldsymbol\u0000Psi$. Experimental results show that GDD achieves competitive image denoising\u0000performance compared to competitors, but employing far fewer parameters, and is\u0000more robust to covariate shift.","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142175998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DeWinder: Single-Channel Wind Noise Reduction using Ultrasound Sensing DeWinder：利用超声波传感降低单通道风噪

arXiv - EE - Signal Processing Pub Date : 2024-09-10 DOI: arxiv-2409.06137

Kuang Yuan, Shuo Han, Swarun Kumar, Bhiksha Raj

引用次数: 0

Multiclass Arrhythmia Classification using Smartwatch Photoplethysmography Signals Collected in Real-life Settings 利用在真实环境中收集的智能手表血压信号进行多类心律失常分类

arXiv - EE - Signal Processing Pub Date : 2024-09-10 DOI: arxiv-2409.06147

Dong Han, Jihye Moon, Luís Roberto Mercado Díaz, Darren Chen, Devan Williams, Eric Y. Ding, Khanh-Van Tran, David D. McManus, Ki H. Chon

{"title":"Multiclass Arrhythmia Classification using Smartwatch Photoplethysmography Signals Collected in Real-life Settings","authors":"Dong Han, Jihye Moon, Luís Roberto Mercado Díaz, Darren Chen, Devan Williams, Eric Y. Ding, Khanh-Van Tran, David D. McManus, Ki H. Chon","doi":"arxiv-2409.06147","DOIUrl":"https://doi.org/arxiv-2409.06147","url":null,"abstract":"Most deep learning models of multiclass arrhythmia classification are tested\u0000on fingertip photoplethysmographic (PPG) data, which has higher signal-to-noise\u0000ratios compared to smartwatch-derived PPG, and the best reported sensitivity\u0000value for premature atrial/ventricular contraction (PAC/PVC) detection is only\u000075%. To improve upon PAC/PVC detection sensitivity while maintaining high AF\u0000detection, we use multi-modal data which incorporates 1D PPG, accelerometers,\u0000and heart rate data as the inputs to a computationally efficient 1D\u0000bi-directional Gated Recurrent Unit (1D-Bi-GRU) model to detect three\u0000arrhythmia classes. We used motion-artifact prone smartwatch PPG data from the\u0000NIH-funded Pulsewatch clinical trial. Our multimodal model tested on 72\u0000subjects achieved an unprecedented 83% sensitivity for PAC/PVC detection while\u0000maintaining a high accuracy of 97.31% for AF detection. These results\u0000outperformed the best state-of-the-art model by 20.81% for PAC/PVC and 2.55%\u0000for AF detection even while our model was computationally more efficient (14\u0000times lighter and 2.7 faster).","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142175996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizing Placement and Power Allocation in Reconfigurable Intelligent Sensing Surfaces for Enhanced Sensing and Communication Performance 优化可重构智能传感表面的位置和功率分配，提高传感和通信性能

arXiv - EE - Signal Processing Pub Date : 2024-09-10 DOI: arxiv-2409.06188

Cheng Luo, Jie Hu, Luping Xiang, Kun Yang, Bo Lei

引用次数: 0

Compressed Sensing based Detection Schemes for Differential Spatial Modulation in Visible Light Communication Systems 可见光通信系统中基于压缩传感的差分空间调制检测方案

arXiv - EE - Signal Processing Pub Date : 2024-09-10 DOI: arxiv-2409.06577

Zichun Shi, Pu Miao, Peng Chen, Lei Xue, Li-Yang Zheng, Laiyuan Wang, Gaojie Chen

{"title":"Compressed Sensing based Detection Schemes for Differential Spatial Modulation in Visible Light Communication Systems","authors":"Zichun Shi, Pu Miao, Peng Chen, Lei Xue, Li-Yang Zheng, Laiyuan Wang, Gaojie Chen","doi":"arxiv-2409.06577","DOIUrl":"https://doi.org/arxiv-2409.06577","url":null,"abstract":"Differential spatial modulation (DSM) exploits the time dimension to\u0000facilitate the differential modulation, which can perfectly avoid the challenge\u0000in acquiring of heavily entangled channel state information of visible light\u0000communication (VLC) system. However, it has huge search space and high\u0000complexity for large number of transmitters. In this paper, a novel vector\u0000correction (VC)-based orthogonal matching pursuit (OMP) detection algorithm is\u0000proposed to reduce the complexity, which exploits the sparsity and relativity\u0000of all transmitters, and then employs a novel correction criterion by\u0000correcting the index vectors of the error estimation for improving the\u0000demodulation performance. To overcome the local optimum dilemma in the atoms\u0000searching, an OMP-assisted genetic algorithm is also proposed to further\u0000improve the bit error rate (BER) performance of the VLC-DSM system. Simulation\u0000results demonstrate that the proposed schemes can significantly reduce the\u0000computational complexity at least by 62.5% while achieving an excellent BER\u0000performance as compared with traditional maximum likelihood based receiver.","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142175989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Five Key Enablers for Communication during and after Disasters 灾中和灾后传播的五大关键因素

arXiv - EE - Signal Processing Pub Date : 2024-09-10 DOI: arxiv-2409.06822

Mohammad Shehab, Mustafa Kishk, Maurilio Matracia, Mehdi Bennis, Mohamed-Slim Alouini

引用次数: 0

Predictive Demodulation for Chaotic Communications 混沌通信的预测解调

arXiv - EE - Signal Processing Pub Date : 2024-09-10 DOI: arxiv-2409.06630

Marc Martinez-Gost, Ana Pérez-Neira, Miguel Ángel Lagunas

{"title":"Predictive Demodulation for Chaotic Communications","authors":"Marc Martinez-Gost, Ana Pérez-Neira, Miguel Ángel Lagunas","doi":"arxiv-2409.06630","DOIUrl":"https://doi.org/arxiv-2409.06630","url":null,"abstract":"Chaotic signals offer promising characteristics for wireless communications\u0000due to their wideband nature, low cross-correlation, and sensitivity to initial\u0000conditions. Although classical chaotic modulation schemes like Chaos Shift\u0000Keying (CSK) can theoretically match the performance of traditional modulation\u0000techniques (i.e., bit error rate), practical challenges, such as the difficulty\u0000in generating accurate signal replicas at the receiver, limit their\u0000effectiveness. Besides, chaotic signals are often considered unpredictable\u0000despite their deterministic nature. In this paper, we challenge this view by\u0000introducing a novel modulation scheme for chaotic communications that leverages\u0000the deterministic behavior of chaotic signals. The proposed approach eliminates\u0000the need for synchronized replicas of transmitted waveforms at the receiver.\u0000Moreover, to enhance noise robustness, we employ M-ary Frequency Shift Keying\u0000(FSK) modulation on the chaotic samples. Experimental results show that the\u0000proposed scheme significantly outperforms CSK when perfect replicas are\u0000unavailable, with the best performance achieved for low-order modulations, and\u0000resulting in minimal delay increase.","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142175994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0