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检索条件"任意字段=12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022"

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2022 ieee 12th sensor array and multichannel signal processing workshop, sam 2022

2022 IEEE 12th Sensor Array and Multichannel Signal Processi...

引用

12th ieee sensor array and multichannel signal processing workshop, sam 2022

ISBN: (纸本)9781665406338

the proceedings contain 94 papers. the topics discussed include: federated channel learning for intelligent reflecting surfaces with fewer pilot signals;statistical analyses of measured forward-looking sonar echo data in a shallow water environment;passive angle-doppler profile estimation for narrowband digitally modulated wireless signals;dynamic TDD enabled distributed antenna array massive MIMO system;joint source enumeration and direction finding without eigendecomposition for satellite navigation receiver;sparse signal recovery using a binary program;gradient-descent adaptive filtering using gradient adaptive step-size;non-coherent source localization with distributed sensor array networks;and joint location and channel error optimization for beamforming design for multi-RIS assisted MIMO system.

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GSP based subsampling of IoT sensor networks 12

GSP based subsampling of IoT sensor networks

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ieee 12th sensor array and multichannel signal processing workshop (sam)

作者： Sabatini, Anna Vollero, Luca Univ Campus Biomed Roma Comp Syst & Bioinformat Lab Rome Italy

ISBN: (纸本)9781665406338

Graph signal processing (GSP) can be applied as a modeling tool to study and optimally configure IoT sensor networks. Such networks are often characterized by stringent power requirements and a high probability of sensor fault. In this scenario, understanding and governing the response on a sample of the sensors is critical to maximizing network lifetime and spreading out maintenance time. the aim of this paper is to verify the ability of the GSP to model and provide answers to these goals.

关键词： GSP IoT sampling and interpolation

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Passive Angle-Doppler Profile Estimation for Narrowband Digitally Modulated Wireless signals 12

Passive Angle-Doppler Profile Estimation for Narrowband Digi...

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ieee 12th sensor array and multichannel signal processing workshop (sam)

作者： Argyriou, Antonios Univ Thessaly Dept Elect & Comp Engn Volos Greece

ISBN: (纸本)9781665406338

In this paper, we improve estimation of the Doppler shift present in signals that originate from multiple wireless digital communication transmitters. We deploy a uniform linear array (ULA) that overhears the frequency band of interest, hence an unauthorized wireless receiver (URx), and propose an algorithm for extracting the symbol duration from the unknown modulated data. the baseband wireless modulated signal is stripped from its data-induced phase shifts, allowing us to calculate high quality estimates of the periodogram, the spectrogram, and the angle-Doppler profile. Performance results show that high quality results without artifacts from digital modulation can be obtained.

关键词： Wireless communication Wireless sensor networks Transmitters Digital modulation Estimation Symbols signal processing algorithms

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Sparse array Beamformer Design via ADMM 12

Sparse Array Beamformer Design via ADMM

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ieee 12th sensor array and multichannel signal processing workshop (sam)

作者： Huang, Huiping So, Hing Cheung Zoubir, Abdelhak M. Tech Univ Darmstadt Darmstadt Germany City Univ Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781665406338

In this paper, we devise a sparse array design algorithm for adaptive beamforming. Our strategy is based on finding a sparse beamformer weight to maximize the output signal-tointerference-plus-noise ratio (SINR). the proposed method uses the alternating direction method of multipliers (ADMM), and admits closed-form solutions at each ADMM iteration. Numerical results exhibit excellent performance of the proposed method, which is comparable to that of the exhaustive search approach.

关键词： Adaptive beamforming ADMM sparse array design output SINR

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Sparse signal Recovery Using a Binary Program 12

Sparse Signal Recovery Using a Binary Program

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ieee 12th sensor array and multichannel signal processing workshop (sam)

作者： Rahman, Muhammed Tahsin Valaee, Shahrokh Univ Toronto Elect & Comp Engn Toronto ON Canada

ISBN: (纸本)9781665406338

Sparsity based signal recovery has seen great success in solving underdetermined systems of equations. this success is due, in large part, to a relaxation: the l0-norm is replaced by the l1-norm, which results in a convex problem. However, such a relaxation may lead to a suboptimal solution, one that may even be asymptotically biased. We propose formulating sparse signal recovery as a binary program, and we derive the conditions under which such a formulation perfectly recovers the signal support. this derivation equips us with a constraint on the dictionary's spectrum. However, designing such a dictionary is a combinatorial problem, so we suggest a heuristic which can be readily satisfied using the alternating projections algorithm. Applied to angle of arrival (AoA) estimation using a sensor array, we show how this paradigm outperforms both the basis pursuit l1-norm relaxation and the Matrix Pencil method.

关键词： Binary program sparsity compressed sensing angle of arrival estimation antenna array

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Non-Coherent Source Localization with Distributed sensor array Networks 12

Non-Coherent Source Localization with Distributed Sensor Arr...

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ieee 12th sensor array and multichannel signal processing workshop (sam)

作者： Wan, Zhengyu Liu, Wei Willett, Peter Univ Sheffield Dept Elect & Elect Engn Sheffield S Yorkshire England Univ Connecticut Dept Elect & Comp Engn Storrs CT USA

ISBN: (纸本)9781665406338

the non-coherent source localization problem based on distributed sensor arrays can be formulated into a group sparsity based phase retrieval problem where only the magnitude (absolute value) of the received signals is available. Under such a framework, a two-dimensional localization method is proposed. Unlike traditional source localization methods, random phase errors at sensors of the distributed array will not affect estimation results by the proposed method. Simulation results indicate that the proposed non-coherent source localization method outperforms the traditional one in the presence of large phase errors, while still maintains an acceptable accuracy in the absence of phase errors.

关键词： Target localization distributed sensor array magnitude-only measurements group sparsity non-coherent detection

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A DEEP REINFORCEMENT LEARNING APPROACH FOR INTEGRATED AUTOMOTIVE RADAR SENSING AND COMMUNICATION 12

A DEEP REINFORCEMENT LEARNING APPROACH FOR INTEGRATED AUTOMO...

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ieee 12th sensor array and multichannel signal processing workshop (sam)

作者： Xu, Lifan Zheng, Ruxin Sun, Shunqiao Univ Alabama Dept Elect & Comp Engn Tuscaloosa AL 35487 USA

ISBN: (纸本)9781665406338

We present a deep reinforcement learning approach to design an automotive radar system with integrated sensing and communication. In the proposed system, sparse transmit arrays with quantized phase shifter are used to carry out transmit beamforming to enhance the performance of both radar sensing and communication. through interaction with environment, the automotive radar learns a reward that reflects the difference between mainlobe peak and the peak sidelobe level in radar sensing mode or communication user feedback in communication mode, and intelligently adjust its beamforming vector. the Wolpertinger policy based actioncritic network is introduced for beamforming vector learning, which solves the dimension curse due to huge beamforming action space.

关键词： Deep reinforcement learning integrated sensing and communication (ISAC) automotive radar sparse array beamforming

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Phased array With Improved Beamforming Capability via Use of Double Phase Shifters 12

Phased Array With Improved Beamforming Capability via Use of...

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ieee 12th sensor array and multichannel signal processing workshop (sam)

作者： Xu, Zhaoyi Petropulu, Athina P. Rutgers State Univ Dept Elect & Comp Engn New Brunswick NJ 08854 USA

ISBN: (纸本)9781665406338

the passive electronically scanned array (PESA) is widely used due to its simple structure and low cost. Its antenna weights have unit modulus and thus, only the weights phases can be controlled. PESA has limited degrees of freedom for beampattern design, where only the direction of the main beam can be controlled. In this paper we propose a novel way to improve the beamforming capability of PESA by endowing it with more degrees of freedom via the use of double phase shifters (DPS). By doing so, both the magnitude and the phase of the antenna weights can be controlled, allowing for more flexibility in the beampattern design. We also take into account the physical resolution limitation of phase shifters, and propose a method to approximate a given complex beamformer using DPS. Simulation results indicate significant beamforming improvement even at low phase resolution.

关键词： Phased array Double phase shifters Beampattern

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Over-the-Air Identification of Coupled Nonlinear Distortion in a MIMO Radar 12

Over-The-Air Identification of Coupled Nonlinear Distortion ...

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ieee 12th sensor array and multichannel signal processing workshop (sam)

作者： Kylin, Carl Eriksson, thomas Silander, Anders McKelvey, Tomas Chalmers Univ Technol Dept Elect Engn Gothenburg Sweden Saab AB Radar Solut Gothenburg Sweden

ISBN: (纸本)9781665406338

Compensation for nonlinear distortion caused by power amplifiers being driven into compression is a field that has been extensively explored by a number of authors. More complex models describing the coupled nonlinear distortion that can occur in an active antenna array also exist. To identify these models most authors assume that the output of each power amplifier can be measured directly. For a system with many antennas over-theair identification might be favorable. the problem of identifying a system describing the joint effects of coupled nonlinear distortion over-the-air has been solved by other authors assuming model or setup simplifications. To tackle the problem with a more accurate model, an algorithm for identifying parameters of a Volterra series model describing coupled non-linear distortion in a digital radar is explored and illustrated with simulated data.

关键词： Power measurement MIMO radar Nonlinear distortion Power amplifiers signal processing algorithms Radar Data models

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Simultaneous Communication and Tracking in Arbitrary Trajectories via Beam-Space processing 12

Simultaneous Communication and Tracking in Arbitrary Traject...

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ieee 12th sensor array and multichannel signal processing workshop (sam)

作者： Pedraza, Fernando Dehkordi, Saeid K. Kobayashi, Mari Caire, Giuseppe Tech Univ Berlin Berlin Germany Tech Univ Munich Munich Germany

ISBN: (纸本)9781665406338

In this paper, we develop a beam tracking scheme for an orthogonal frequency division multiplexing (OFDM) Integrated Sensing and Communication (ISAC) system with a hybrid digital analog (HDA) architecture operating in the millimeter wave (mmWave) band. Our tracking method consists of an estimation step inspired by radar signal processing techniques, and a prediction step based on simple kinematic equations. the hybrid architecture exploits the predicted state information to focus only on the directions of interest, trading off beamforming gain, hardware complexity and multistream processing capabilities. Our extensive simulations in arbitrary trajectories show that the proposed method can outperform state of the art beam tracking methods in terms of prediction accuracy and consequently achievable communication rate, and is fully capable of dealing with highly non-linear dynamic motion patterns.

关键词： Integrated Sensing and Communication (ISAC) Beam Tracking OFDM Hybrid Digital Analog (HDA)

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