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检索条件"任意字段=2008 IEEE Sensor Array and Multichannel Signal Processing Workshop"

共 1267 条记录，以下是141-150 订阅

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Joint Optimization of Reconfigurable Intelligent Surfaces and Dynamic Metasurface Antennas for Massive MIMO Communications

Joint Optimization of Reconfigurable Intelligent Surfaces an...

引用

sensor array and multichannel signal processing workshop

作者： Xuewen Qian Marco Di Renzo Vincenzo Sciancalepore Xavier Costa-Pé rez Laboratoire des Signaux et Syst&#x00E8 mes Universit&#x00E9 Paris-Saclay CNRS CentraleSup&#x00E9 lec Gif-sur-Yvette France NEC Laboratories Europe GmbH Germany i2cat Research Center Spain

Reconfigurable intelligent surfaces (RISs) are a promising technology for enhancing the communication performance of future wireless systems by controlling the wireless environment. In addition, dynamic metasurface antennas (DMAs) are a promising technology for increasing the number of antenna elements of multiple-input multiple-output (MIMO) systems at a reduced cost and power consumption compared to conventional MIMO arrays. In this paper, we amalgamate these two technologies in order to realize massive MIMO communication networks with superior performance at a reduced complexity. We first introduce the considered RIS-assisted DMA-based MIMO system, and we then formulate an optimization problem to maximize the system rate. The problem is solved by using an alternating optimization algorithm, which iteratively optimizes the RIS elements, as well as the precoding matrices and the DMA elements at the transceivers. Simulation results demonstrate that jointly utilizing RISs for controlling the wireless environment and DMAs at the transceivers results in superior achieavble rates.

关键词： Wireless communication Wireless sensor networks Heuristic algorithms Simulation signal processing algorithms Reconfigurable intelligent surfaces Metasurfaces

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Exploiting array Geometry for Reduced-Subspace Channel Estimation in RIS-Aided Communications

Exploiting Array Geometry for Reduced-Subspace Channel Estim...

引用

sensor array and multichannel signal processing workshop

作者： Ö zlem Tuğ fe Demir Emil Bjö rnson Luca Sanguinetti Department of Computer Science KTH Royal Institute of Technology Kista Sweden Dipartimento di Ingegneria dell&#x0027 Informazione University of Pisa Pisa Italy

A reconfigurable intelligent surface (RIS) can be used to improve the channel gain between a base station (BS) and user equipment (UE), but only if its $N$ reflecting elements are configured properly. This requires accurate estimation of the cascaded channel from the UE to the BS through each RIS element. If the channel structure is not exploited, pilot sequences of length $N$ must be used, which is a major practical challenge since $N$ is typically at the order of hundreds. To address this problem without requiring user-specific channel statistics, we propose a novel estimator, called reduced-subspace least squares (RS-LS) estimator, that only uses knowledge of the array geometry. The RIS phase-shift pattern is optimized to minimize the mean-square error of the channel estimates. The RS- LS estimator largely outperforms the conventional least- squares estimator, and can be utilized with a much shorter pilot length since it exploits the fact that the array geometry confines the possible channel realizations to a reduced-rank subspace.

关键词： Geometry Training Base stations Conferences Channel estimation Estimation Mean square error methods

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On time-invariant FDA beam-pattern design based on time-dependent frequency offsets 11

On time-invariant FDA beam-pattern design based on time-depe...

引用

ieee 11th sensor array and multichannel signal processing workshop (SAM)

作者： Shi, Jiantao Nanjing Res Inst Elect Technol Nanjing 210039 Peoples R China CETC Key Lab Intellisense Technol Nanjing 210039 Peoples R China

ISBN: (纸本)9781728119465

In the existing works on FDA beam-patterns produced by the traditional FDA are time variant, and this causes difficulties in target detecting and beam-pattern steering. For solving the problem, several time-dependent frequency offsets based time-invariant FDA beam-pattern design methods have been proposed, which, however, neglected the time-range relationship and led to erroneous conclusions. In this note, considering the practical constraint and the relationship between time and range, it is concluded that FDA beam-patterns are always time-variant and it is unable to form time-invariant beam-patterns.

关键词： Frequency diverse array time-dependent frequency offset time-invariant beam-pattern time-range relationship

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Transmit Beampattern Design for Dual-Function Radar-Communication System with an Interleaved array 11

Transmit Beampattern Design for Dual-Function Radar-Communic...

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ieee 11th sensor array and multichannel signal processing workshop (SAM)

作者： Chen, Yufeng Liao, Guisheng Yang, Zhiwei Zhu, Shengqi Liu, Yongjun Jiang, Mengchao Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Peoples R China

ISBN: (纸本)9781728119465

In this paper, a beampattern design method is proposed for the multi-input-multi-output (MIMO) dual-function radar-communication (DFRC) system with an interleaved array. To make full use of the whole aperture, first, the transmit array is partitioned into two interleaved subarrays, one is for radar and the other is for downlink communications. Then, both the radar waveform and communication beamformers are optimized by combining the null-space projection (NSP) method and cyclic approach (CA) to perform the coexistence of MIMO radar and downlink communications. Besides, the communication beampattern can be utilized to improve the detection performance. Finally, several numerical results are given to show the effectiveness of the proposed method.

关键词： dual-function radar-communication transmit beampattern interleaved array MIMO

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Toeplitz Structured Covariance Matrix Estimation for Radar Applications 11

Toeplitz Structured Covariance Matrix Estimation for Radar A...

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ieee 11th sensor array and multichannel signal processing workshop (SAM)

作者： Du, Xiaolin Aubry, Augusto De Maio, Antonio Cui, Guolong Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu Peoples R China Yantai Univ Sch Comp & Control Engn Yantai Peoples R China Univ Napoli Federico II DIETI Naples Italy

ISBN: (纸本)9781728119465

Following a geometric paradigm, the estimation of a Toeplitz structured covariance matrix is considered. The estimator minimizes the distance from the Sample Covariance Matrix (SCM) while complying with some specific constraints modeling the covariance structure. The resulting constrained optimization problem is solved globally resorting to the Dykstra' projection framework. Each step of the procedure involves the solution of two convex sub-problems, whose minimizers are available in closed form. Simulation results related to typical radar environments highlight the effectiveness of the devised method.

关键词： Radar signal processing covariance matrix estimation projection Toeplitz structure

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Mitigating Outliers for Bayesian Mixture of Factor Analyzers 11

Mitigating Outliers for Bayesian Mixture of Factor Analyzers

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ieee 11th sensor array and multichannel signal processing workshop (SAM)

作者： Chen, Zhongtao Cheng, Lei Shenzhen Res Inst Big Data Shenzhen Peoples R China Chinese Univ Hong Kong Shenzhen Peoples R China

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119465

The Bayesian mixture of factor analyzers (BMFA), which achieves joint clustering and dimensionality reduction, is with an appealing feature of automatic hyper-parameter learning. In addition to its great success in various unsupervised learning tasks, it exemplifies how the Bayesian statistics can be leveraged to achieve automatic hyper-parameter learning, which is an open problem of modern simultaneous (deep) dimensionality reduction and clustering. Due to the importance of the BMFA, in this paper, its mechanism is carefully investigated, and a robust variant of the BMFA that can mitigate potential outliers is further proposed. Numerical studies are presented to show the remarkable performance of the proposed algorithm in terms of accuracy and robustness.

关键词： Dimensionality reduction array signal processing Conferences signal processing algorithms Clustering algorithms Robustness Bayes methods

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Robust Adaptive Monopulse processing for Multiple Observations with Applications to TS-MIMO Radar 11

Robust Adaptive Monopulse Processing for Multiple Observatio...

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ieee 11th sensor array and multichannel signal processing workshop (SAM)

作者： Yu, Kai-Bor Fernandez, Manuel F. Shanghai Jiao Tong Univ Shanghai Key Lab Intelligent Sensing & Recognit Shanghai Peoples R China

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119465

In a recent paper, we have shown advancement of adaptive monopulse processing techniques by adding some robust features such as low-sidelobes, addressing the signal cancellation issues and relaxing the linear assumption of the monopulse ratio curve (MRC) in addition to cancelling jamming and maintaining the monopulse beam patterns for target angle estimation. This technique is extended in this paper for the case of multiple observations as it arises in multi-pulse radar operation and transmit sub-aperture (TS) MIMO radar. We show that the optimal solution is the weighted average of the monopulse ratio measurements followed by monopulse angle estimation. This can be interpreted as processing fusion which is averaging the monopulse ratios followed by monopulse angle estimation and as an alternative in reversing the order, we can perform monopulse angle estimation for each observation followed by averaging.

关键词： Monopulse processing adaptive monopulse robust adaptive monopulse TS-MIMO processing fusion

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Distributed Multiarray Noise Reduction With Online Estimation Of Masks And Spatial Filters 11

Distributed Multiarray Noise Reduction With Online Estimatio...

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ieee 11th sensor array and multichannel signal processing workshop (SAM)

作者： Bartolewska, Julitta Kowalczyk, Konrad AGH Univ Sci & Technol Dept Elect PL-30059 Krakow Poland

ISBN: (纸本)9781728119465

A rapid increase in popularity of smart devices equipped with acoustic sensors enables the design of speech enhancement methods for distributed setups. In this work, we present a distributed noise reduction scheme in which the time-frequency masks and spatial filters are estimated at the nodes based on the locally available microphone signals and the compressed signals received from other nodes, where each node transmits only a single signal. The proposed block processing facilitates online estimation of masks and distributed spatial filters in an interchanged fashion. The results of performed numerical experiments indicate that the proposed online distributed noise reduction scheme performs similarly to the centralized approach, in which signals of all microphones of the distributed arrays are available for joint processing, and it significantly outperforms the local approach in which only the local microphone signals are available for the estimation of masks and spatial filters.

关键词： distributed sensor arrays mask-based noise reduction distributed spatial filtering multichannel Wiener filter

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Adaptive Beamforming Using Frequency Diverse MIMO Radar with Nonlinear Frequency Offset 11

Adaptive Beamforming Using Frequency Diverse MIMO Radar with...

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ieee 11th sensor array and multichannel signal processing workshop (SAM)

作者： Tan, Ming Wang, Chunyang Li, Zhihui Bai, Juan Bao, Lei Air Force Engn Univ Air & Missile Def Coll Xian Peoples R China Natl Univ Def Technol Hefei Peoples R China

ISBN: (纸本)9781728119465

Unlike phased array adopting invariable carrier frequency, frequency diverse array (FDA) introduces a tiny frequency increment across the array elements, leading to transmit beamforming associated with the parameters of range and angle. However, the beampattern generated by the conventional FDA is range-angle coupling, which is detrimental for target localization and interference suppression. In this paper, a new FDA scheme utilizing nonuniform element spacing and nonlinear frequency offset is proposed to provide a range-angle decoupled beampattern with narrower main lobe and no periodicity. Simulations and comparative results are presented to verify the superiority of the proposed scheme over the existing systems.

关键词： frequency diverse array (FDA) range-angle multiple-input multiple-output (MIMO) nonlinear frequency offset nonuniform element spacing

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Ambiguity Function-Based ESPRIT Algorithm for FDA-MIMO Radar Target Localization 11

Ambiguity Function-Based ESPRIT Algorithm for FDA-MIMO Radar...

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ieee 11th sensor array and multichannel signal processing workshop (SAM)

作者： Xu, Ziting Huang, Bang Hu, Huawei Chen, Hui Wang, Wen-Qin Univ Elect Sci & Technol China Sch Informat & Commun Chengdu Peoples R China

ISBN: (纸本)9781728119465

Frequency-diverse array (FDA) can provide a range-angle-time dependent beamforming capability that could make a difference in some radar applications. However, the joint range-angle estimation of FDA will inevitably increase the complexity due to the coupling range and angle response. Estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm cannot be used directly to estimate the angle and range because it does not meet the rotation invariance criterion. In this paper, an ambiguity function (AF)-based method is proposed to avoid the coupling range and angle problem for the FDA and multiple-input multiple-output (MIMO) combined radar to realize high-resolution range and angle estimation. Numerical results show its advantages over conventional method.

关键词： Ambiguity function ESPRIT frequency diverse array (FDA) Localization multiple-input multiple-output (MIMO)

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