检索结果-内蒙古大学图书馆

European signal processing Conference (EUSIPCO)

作者： Eleftherios Kofidis Dept of Statistics and Insurance Science University of Piraeus Piraeus Greece

ISBN: (数字)9789464593617

ISBN: (纸本)9798331519773

Tensor-based methods have attracted significant interest also in array signal processing (ASP) given the inherently multi-dimensional nature of the problems involved therein. The ability of tensor decomposition (TD)-based techniques to recover latent information, including channel parameters and transmitted symbols in the ASP context, in a deterministic manner and with little or no training overhead fits well with the data efficiency needs of future-generation multi-user massive multiple-input multiple-output (MU-mMIMO) systems. They have mostly relied, however, on a few classical TD models, notably canonical polyadic decomposition (CPD). In this paper, a generalized CPD model, known as block-term decomposition (BTD), which has been increasingly adopted in a wide range of applications, is re-visited in the context of ASP, and shown to be the natural choice in sensor arrays of increased dimensionality and channel multipath. Semi-blind joint channel estimation/data detection (JCD) is addressed in the special but important case of the uniform rectangular array (URA), via efficient algorithms that wed existing JCD schemes with BTD approximation. Their performance, at various noise levels, array sizes, and numbers of users and paths, is evaluated via simulation results and favorably compared with that of the training-only-based solution.

关键词： Training Tensors array signal processing Simulation Symbols signal processing algorithms Parallel processing MIMO communication Sensor arrays Noise level

来源：评论

学校读者我要写书评

暂无评论

SIML: SIEVED MAXIMUM LIKELIHOOD FOR array signal processing

SIML: SIEVED MAXIMUM LIKELIHOOD FOR ARRAY SIGNAL PROCESSING

引用

IEEE International Conference on Acoustics, Speech and signal processing (ICASSP)

作者： Simeoni, Matthieu Hurley, Paul Ecole Polytech Fed Lausanne EPFL CH-1015 Lausanne Switzerland Western Sydney Univ WSU Sydney NSW 2150 Australia

ISBN: (纸本)9781728176055

Stochastic Maximum Likelihood (SML) is a popular direction of arrival (DOA) estimation technique in array signal processing. It is a parametric method that jointly estimates signal and instrument noise by maximum likelihood, achieving excellent statistical performance. Some drawbacks are the computational overhead as well as the limitation to a point-source data model with fewer sources than sensors. In this work, we propose a Sieved Maximum Likelihood (SiML) method. It uses a general functional data model, allowing an unrestricted number of arbitrarily-shaped sources to be recovered. To this end, we leverage functional analysis tools and express the data in terms of an infinite-dimensional sampling operator acting on a Gaussian random function. We show that SiML is computationally more efficient than traditional SML, resilient to noise, and results in much better accuracy than spectral-based methods.

关键词： stochastic maximum likelihood sieved maximum likelihood spatially extended sources random fields sampling operator array signal processing

来源：评论

学校读者我要写书评

暂无评论

Ambient Interferences Suppressing for In-Situ Radiated Emissions Measurement Based on array signal processing and Adaptive Noise Cancellation

引用

IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY 2020年第4期62卷 1055-1067页

作者： Zhou, Zhongyuan Li, Peng Sheng, Mingjie Zhou, Qi Hu, Peng Southeast Univ Sch Mech Engn Electromagnet Compatibil Lab Nanjing 211189 Peoples R China

In this article, a method combining array signal processing and adaptive noise cancellation is proposed to suppress the ambient interferences of in-situ measurement. First, the directions of arrival and classes of all signals are obtained by performing blind source separation and sparse reconstruction on the received signals. Then, the received signals are reused to form two different data channels. In both channels, the interferences that are coherent with the radiated signals of the equipment under test and have larger amplitudes are eliminated based on null trap forming, whereas the coherent interferences with smaller amplitudes are ignored after being attenuated. Besides, the other interferences are suppressed by the adaptive noise cancellation based on their correlation in the two channels. For transient signals, overlapping window technique is used to avoid the losses of the spectrums. Each frame of the signals is cyclically extended to provide sufficient points for adaptive noise cancellation. The proposed method achieves the suppression of multisource ambient interferences with fewer array elements. Simulation and experiment results are given to verify the effectiveness and accuracy of the proposed method.

关键词： Adaptive noise cancellation array signal processing direction of arrival (DOA) in-situ measurement radiated emission sparse reconstruction

来源：评论

学校读者我要写书评

暂无评论

Hybrid microphone array signal processing approach for faulty wheel identification and ground impedance estimation in wheel/rail system

引用

APPLIED ACOUSTICS 2021年 172卷 107633-107633页

作者： Chen, Long Choy, Yat-Sze Tam, Kai-Chung Fei, Cheng-Wei Shenzhen Univ Coll Elect & Informat Engn Shenzhen Peoples R China Hong Kong Polytech Univ Dept Mech Engn 11 Yuk Choi Rd Hong Kong 999077 Peoples R China Kinet Noise Control ASIA LTD World Tech Ctr Kwun Tong Unit E9-F95 Ming St Hong Kong Peoples R China Fudan Univ Dept Aeronaut & Astronaut Shanghai 200433 Peoples R China

This study investigates a microphone array signal processing approach in a theoretical and experimental manner for faulty wheel identification and localisation and ground impedance estimation in a wheel/rail system. The sound source location during wheel rotation is estimated by a broadband weighted multiple signal classification (BW-MUSIC) method, while the impedance of the corresponding ground surface is estimated by the Levenberg-Marquardt and Crank Nicolson (LM-CN) method. The accurate location of the faulty wheel is determined by the kurtosis beamformer. As an acoustics-based noncontact diagnosis method, this technique overcomes the challenge presented by contact between the sensors and the examined structures, and it is more applicable for impulsive signals with broadband features, such as impact noise generated from faults on the wheel surface. The accuracy of the location and impedance estimations is also examined in this study, and the results obtained from the numerical and experimental analyses are observed to be in good agreement. With multiple sound sources and the interference of ground reflection, the BW-MUSIC method can provide a separate and distinct localisation result in the sound map, while the LM-CN method can provide a preferable estimation result of the ground impedance, allowing the faulty wheel to be detected accurately. (C) 2020 Elsevier Ltd. All rights reserved.

关键词： array signal processing Ground impedance Beamforming Impulsive signal

来源：评论

学校读者我要写书评

暂无评论

SIML: Sieved Maximum Likelihood for array signal processing

SIML: Sieved Maximum Likelihood for Array Signal Processing

引用

IEEE International Conference on Acoustics, Speech and signal processing

作者： Matthieu Simeoni Paul Hurley École Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland Western Sydney University (WSU) Sydney Australia

关键词： Maximum likelihood estimation Direction-of-arrival estimation Tensors array signal processing Stochastic processes Parallel processing Tools

来源：评论

学校读者我要写书评

暂无评论

Unit Circle Roots Property for Sensor array signal processing

Unit Circle Roots Property for Sensor Array Signal Processin...

引用

IEEE National Conference on Aerospace and Electronics (NAECON)

作者： Jared Smith Arnab Shaw Wright State University Dayton OH USA

ISBN: (纸本)9781665448604

This paper presents a new general proof that the roots of the polynomial corresponding to the minimum variance filter computed using the true Toeplitz covariance matrix must fall on the unit circle (UC). Unlike a previous proof applicable to the Minimum Variance Distortionless Response (MVDR) case only, the new proof does not rely on Wiener-Khinchin theorem to map the problem into frequency domain. Furthermore, the proof is applicable to a general class of sensor array signal processing problems beyond MVDR. Next, new closed-form solutions of UC roots constrained (UCRC) MVDR beamformer and Adaptive Matched Filter (AMF) will demonstrate significant performance improvement than the conventional, non-UC counterparts. The proposed approach will also be shown to achieve superior performance improvement at smaller aperture sizes than the conventional approaches, justifying its suitability for applications with reduced SWAP requirements.

关键词： Matched filters array signal processing Filtering Simulation Frequency-domain analysis Object detection Parallel processing

来源：评论

学校读者我要写书评

暂无评论

In Situ Measurement of Radiated Emissions Based on array signal processing and Adaptive Noise Cancellation

引用

IEICE TRANSACTIONS ON ELECTRONICS 2019年第4期E102C卷 371-379页

作者： Li, Peng Zhou, Zhongyuan Sheng, Mingjie Zhou, Qi Hu, Peng Southeast Univ Sch Mech Engn Electromagnet Compatibil Lab Nanjing 211189 Jiangsu Peoples R China

This paper presents a method combining array signal processing and adaptive noise cancellation to suppress unwanted ambient interferences in in situ measurement of radiated emissions of equipment. First, the signals received by the antenna array are processed to form a main data channel and an auxiliary data channel. The main channel contains the radiated emissions of the equipment under test and the attenuated ambient interferences. The auxiliary channel only contains the attenuated ambient interferences. Then, the adaptive noise cancellation technique is used to suppress the ambient interferences based on the correlation of the interferences in the main and auxiliary channels. The proposed method overcomes the problem that the ambient interferences in the two channels of the virtual chamber method are not correlated, and realizes the suppression of multi-source ambient noises in the use of fewer array elements. The results of simulation and experiment show that the proposed method can effectively extract radiated emissions of the equipment under test in complex electromagnetic environment. Finally, discussions on the effect of the beam width of the main channel and the generalization of the proposed method to three dimensionally distributed signals are addressed.

关键词： electromagnetic compatibility in situ measurement array signal processing radiated emission adaptive noise cancellation

来源：评论

学校读者我要写书评

暂无评论

Digitally Adaptive High-Fidelity Analog array signal processing Resilient to Capacitive Multiplying DAC Inter-Stage Gain Error

引用

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS 2019年第11期66卷 4095-4107页

作者： Joshi, Siddharth Kim, Chul Thomas, Chris M. Cauwenberghs, Gert Univ Notre Dame Dept Comp Sci & Engn Notre Dame IN 46556 USA Korea Adv Inst Sci & Technol Dept Bio & Brain Engn Daejeon 34131 South Korea Boeing Satellite Syst Seal Beach CA 90740 USA Univ Calif San Diego Dept Bioengn La Jolla CA 92093 USA

This paper studies multi-stage capacitive mixed-signal matrix-vector multiplying digital-to-analog (MDAC) conversion topologies for highly energy-efficient, high-resolution, and high-dimensional MIMO analog processing systems. In order to mitigate nonlinearity due to radix errors and capacitive mismatch encountered in compact low-power MDAC realizations, we introduce stochastic successive approximation, or S(2)A, as an online optimization algorithm for adaptive array analog signal processing amenable to efficient implementation in massively parallel mixed-signal hardware. S(2)A offers a direct alternative to stochastic gradient descent overcoming several of its shortcomings, such as its sensitivity to model error, while improving on the rate and quality of convergence. S(2)A overcomes non-convergence typically encountered with gradient descent for non-convex optimization landscapes induced by a mismatch in capacitive multiplying digital-to-analog converter components when applied to adaptive analog signal processing. Experimental validation of S(2)A in mixed-signal hardware for real-time RF adaptive beamforming demonstrates 65 dB of over-the-air, multipath interferer suppression in fewer than 25 S(2)A iterations.

关键词： signal processing algorithms array signal processing Adaptive arrays Capacitors Adaptive systems Optimization Multiplying digital-to-analog conversion (MDAC) mixed-signal matrix-vector multiplication (MVM) analog signal processing (ASP) multi-input multi-output (MIMO) least-mean-squares (LMS) adaptive filtering non-convex optimization Internet-of-Things (IoT)

来源：评论

学校读者我要写书评

暂无评论

An Overview of Enhanced Massive MIMO With array signal processing Techniques

引用

IEEE JOURNAL OF SELECTED TOPICS IN signal processing 2019年第5期13卷 886-901页

作者： Wang, Mingjin Gao, Feifei Jin, Shi Lin, Hai Tsinghua Univ Dept Automat Beijing 100084 Peoples R China Tsinghua Univ Inst Artificial Intelligence Beijing 100084 Peoples R China Beijing Natl Res Ctr Informat Sci & Technol BNRis Beijing 100084 Peoples R China Tsinghua Univ Shenzhen Key Lab Digital TV Syst Guangdong Prov & Shenzhen Res Inst Shenzhen 518057 Peoples R China Southeast Univ Natl Commun Res Lab Nanjing 210096 Jiangsu Peoples R China Osaka Prefecture Univ Dept Elect & Informat Syst Grad Sch Engn Sakai Osaka 5998531 Japan

In the past ten years, there have been tremendous research progresses on massive MIMO systems, most of which stand from the communications viewpoint. A new trend to investigate massive MIMO, especially for the sparse scenario like millimeter wave (mmWave) transmission, is to re-build the transceiver design from array signal processing viewpoint that could deeply exploit the half-wavelength array and provide enhanced performances in many aspects. For example, the high dimensional channel could be decomposed into small amount of physical parameters, e.g., angle of arrival (AoA), angle of departure (AoD), multi-path delay, Doppler shift, etc. As a consequence, transceiver techniques like synchronization, channel estimation, beamforming, precoding, multi-user access, etc., can be re-shaped with these physical parameters, as opposed to those designed directly with channel state information (CSI). Interestingly, parameters like AoA/AoD and multi-path delay are frequency insensitive and thus can be used to guide the downlink transmission from uplink training even for FDD systems. Moreover, some phenomena of massive MIMO that were vaguely revealed previously can be better explained now with array signal processing, e.g., the beam squint effect. In all, the target of this paper is to present an overview of recent progress on merging array signal processing into massive MIMO communications as well as its promising future directions.

关键词： Massive MIMO array signal processing mmWave angle-delay-Doppler reciprocity beam squint

来源：评论

学校读者我要写书评

暂无评论

A novel adaptive beamforming scheme for array signal data processing

引用

EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING 2023年第1期2023卷 85页

作者： Shi, Heping Yan, Guanghui Hou, Haijing Jiang, Xiaoheng Tianjin Univ Technol & Educ Sch Automobile & Transportat Tianjin 300222 Peoples R China Zhengzhou Univ Sch Informat Engn Zhengzhou 450001 Henan Peoples R China

When the desired signal data exists in the array received data or the steering vector has a mismatch problem, the current traditional adaptive beamformers will suffer from the effect of the desired signal cancelation phenomenon, resulting in a sharp decline in performance. To address the occurrence of desired signal cancelation, an improved matrix projection-based efficient beamforming method is proposed. Firstly, based on spatial partitioning (SP) technology, a significant projection matrix for interference-plus-noise space (INS) is constructed. Secondly, using the constructed key projection matrix, the sample data covariance matrix is projected into the INS to achieve the goal of suppressing the desired signal data information. Finally, the weight data vector is calculated by Capon beamformer. The proposed algorithm does not require an iterative search for the optimal solution, which has the advantage of a small amount of calculation. Simulation experiments have verified that the proposed method has significant advantages in suppressing the desired data signals. Especially when the desired data signal has large power, the signal-to-interference-plus-noise ratio (SINR) of the proposed algorithm is better than that of the compared algorithms under the conditions of random directionality errors or local scattering errors between the desired signal and interference.

关键词： Data processing array signal processing Interference-plus-noise space (INS) Desired signal cancelation

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：