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Enhanced Jamming Suppression in Colocated MIMO Radar with Fluid Antenna array 13

Enhanced Jamming Suppression in Colocated MIMO Radar with Fl...

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13rd ieee sensor array and multichannel signal processing workshop (SAM)

作者： Wu, Linlong Shankar, Bhavani M. R. Liu, Wei Ottersten, Bjorn Univ Luxembourg Interdisciplinary Ctr Secur Reliabil & Trust SnT Luxembourg Luxembourg Queen Mary Univ London Sch Elect Engn & Comp Sci London England

ISBN: (纸本)9798350344820;9798350344813

Beyond traditional solid-state antenna, fluid antennas (FAs) exhibit unparalleled reconfigurability, drawing significant interest for applications in wireless communications and radar. This paper presents a design of FA array (FAA) MIMO radar for improved target detection in the presence of jammers, highlighting the advantages of FAA in sensing scenarios. By utilizing flexible positioning of FAAs, we introduce the antenna position vector (APV) as a design variable, in addition to waveforms, aiming to maximize the signal-to-interference plus noise ratio (SINR) with constraints to maintain waveform unimodularity and avoid FA coupling. The formulated nonconvex problem is tackled by an iterative algorithm based on the block majorization-minimization framework. Each iteration involves solving linearly constrained quadratic programming problems for APV optimization and updating the waveforms via a closed-form solution. Simulation results reveal that the designed APVs of the transmit and receiving FAAs can automatically balance angular resolution and ambiguity, which together with the optimized waveform, significantly enhances the SINR through enhanced jamming suppression. This improvement is attributed to increased flexibility across spatial and frequency dimensions facilitated by the FAAs.

关键词： MIMO radar Fluid antenna array waveform design jamming suppression SINR maximization

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Model for a smart network monitoring a wired sensor matrix

Model for a smart network monitoring a wired sensor matrix

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4th ieee sensor array and multichannel signal processing workshop

作者： Magagni, Luca Gennaretti, Davide Nicolini, Matteo Sergio, Maximilian Guerrieri, Roberto Canegallo, Roberto Univ Bologna ARCES I-40126 Bologna Italy STMicroelect FTM Agrate Brianza Italy

ISBN: (纸本)1424403081

Monitoring harsh environments such as underwater scenarios or aircraft external surfaces pertains to important applications like assisted navigation and tactical surveillance;nevertheless, it poses additional challenges compared with standard applications. At Transducers2005 we presented a wired addressing architecture of distributed sensors for monitoring real-time in-situ pressure variations in underwater environment that faces the above-mentioned issues. This architecture consists in a double array of identical and interconnected smart nodes monitoring a matrix of passive sensors. I n this paper, we present an analysis of the delay model related to the presented architecture and a calculation of the overall frame-rate of the system as a function of the geometrical topology of the arrays. The topology of the network, i.e. the length of each bus and the number of nodes, can be chosen according to the application, and directly affects the global capacitive load on the serial lines. Each serial line can be schematized with a distributed RC model for the flat cable plus a lumped capacitance for each smart node. Then, a 3(rd)-order pi-segmented model of O'Brien-Savarino [4] is calculated for a 16-block fine with block length equal to 0.3m. Thanks to that, the global time per iteration is calculated on each bus as well as the scanning time of the whole matrix and the frame rate for the system as a function of sensor distribution and of the aspect ratio of the matrix. This model can be employed to identify the optimal arrangement for the sensor matrix and smart node arrays.

关键词： Intelligent networks

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Subspace-Based Localization of Near-Field signals in Unknown Nonuniform Noise 10

Subspace-Based Localization of Near-Field Signals in Unknown...

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10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Zuo, Weiliang Xin, Jingmin Zheng, Nanning Sano, Akira Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian 710049 Peoples R China Xi An Jiao Tong Univ Natl Engn Lab Visual Informat Proc & Applicat Xian 710049 Peoples R China Keio Univ Dept Syst Design Engn Yokohama Kanagawa 2238522 Japan

ISBN: (纸本)9781538647523

In this paper, we consider the problem of estimating the directions-of-arrival (DOAs) and ranges of multiple near-field narrowband signals impinging on a symmetric uniform linear array (ULA) in nonuniform noise in practical applications. By forming a Toeplitz-like correlation matrix from the anti-diagonal elements of the array covariance matrix to convert the nonuniform noise to a uniform one, a new subspace-based localization method is proposed, where the null space is obtained through eigendecomposition of the resultant Toeplitz-like matrix, and the MUSIC method is used to estimate the location parameters, while a new pairing scheme is presented as well. Additionally, an oblique projector based alternating iteration is presented to improve the estimation accuracy of the location parameters, where the "saturation behavior" encountered in most of localization methods is solved effectively. Furthermore, the Cramer-Rao lower bound (CRB) for the near-field signals in unknown nonuniform noise is also derived explicitly. Finally, the effectiveness of the proposed method is verified through numerical examples.

关键词： Near-field nonuniform noise oblique projector source localization statistical analysis uniform linear array

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STATISTICAL ANALYSES OF MEASURED FORWARD-LOOKING SONAR ECHO DATA IN A SHALLOWWATER ENVIRONMENT 12

STATISTICAL ANALYSES OF MEASURED FORWARD-LOOKING SONAR ECHO ...

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

作者： Shen, Jiajun Gini, Fulvio Greco, Maria Sabrina Zhou, Tian Harbin Engn Univ Coll Underwater Acoust Engn Harbin 150001 Peoples R China Univ Pisa Dept Informat Engn I-56122 Pisa Italy Peng Cheng Lab Shenzhen 518055 Peoples R China

ISBN: (纸本)9781665406338

The performance of underwater target detection significantly depends on the statistical distribution of reverberation and knowledge of data correlation for active sonar. To reasonably design constant false alarm rate (CFAR) detectors that exploit knowledge of reverberation characteristics, a preliminary statistical analysis of active sonar echo data is necessary. In this study, we analyze the amplitude statistics of the measured forward-looking sonar echo data after applying the beamforming processing with a variety of distributions including log-normal, Weibull, Rayleigh, K, generalized Pareto (GP) and inverse Gaussian distributions. The results show that for the high-frequency sonar working in shallow water, both the K and the GP distributions can provide a good data fitting, while the GP distribution performs better especially in the tail region of the distribution. At last, the spatio-temporal correlation of data analysis and concluding remarks complete this paper.

关键词： Correlation array signal processing Statistical analysis Sonar measurements Sonar Sea measurements Tail

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Reduced Dimensional 2-D DOA Estimation via Least Partial Search with Automatic Pairing for Parallel Co-prime arrays 11

Reduced Dimensional 2-D DOA Estimation via Least Partial Sea...

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

作者： Sun, Fenggang Ouyang, Shengqi Lan, Peng Li, Fengdi Shandong Agr Univ Coll Informat Sci & Engn Tai An Shandong Peoples R China North China Elect Power Univ Int Educ Inst Beijing Peoples R China

ISBN: (纸本)9781728119465

In this paper, we address the problem of two-dimensional (2-D) direction-of-arrival (DOA) estimation for parallel co-prime arrays. To alleviate the tremendous computation burden caused by spectral search and angle pairing, in this paper, we propose an efficient reduced dimensional least spectral search based estimation method with automatic pairing. Specifically, we first utilize the cross-covariance matrix to decouple the 2-D DOA estimation problem into a one-dimensional (1-D) one, and then design a least spectral search based 1-D DOA estimation method according to the relations between true and ambiguous angles. Finally, we estimate the remaining 1-D DOAs via least square criterion with automatic pairing. We evaluate the complexity and present the simulation results to show the effectiveness of the proposed method.

关键词： two-dimensional DOA estimation parallel co-prime array decoupled estimation least partial spectral search

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An Improved Scheme for High-Resolution Point Cloud Map Generation Based on FMCW Radar 11

An Improved Scheme for High-Resolution Point Cloud Map Gener...

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

作者： Zheng, Qiangwen Xie, Yaping Yang, Lijie Li, Junjie Song, Chunyi Xu, Zhiwei Ding, Kai Zhejiang Univ Inst Marine Elect & Intelligent Syst Ocean Coll Hangzhou Peoples R China Key Lab Ocean Observat Imaging Testbed Zhejiang P Zhoushan Peoples R China Zhejiang Lab Hangzhou Peoples R China Zhejiang Inst Standardizat Hangzhou Peoples R China

ISBN: (纸本)9781728119465

For the frequency modulated continuous wave (FMCW) radar, the angle resolution of the generated point cloud map (PCM) is limited by both the number of receiver antennas and the interference of multi-target environments. This paper proposes an improved scheme for high-resolution PCM generation based on a 77 GHz FMCW radar system. The scheme consists of a method to synthesize an equivalent virtual array based on the time-division multiplexing (TDM) multiple-input multiple-output (MIMO) technique and an improved target detection algorithm based on multi-channel fusion. The results show that the proposed scheme could suppress the noise floor and improve the accuracy of target detection by 1.33 times compared to a conventional constant false alarm rate (CFAR) detector in a multi-target environment. Moreover, by applying the proposed scheme, the angle resolution of the PCM generated by the radar system reaches to 1.3022 degrees.

关键词： FMCW radar TDM-MIMO virtual array high-resolution point cloud map (PCM)

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SVM-based Tool to Detect Patients with Multiple Sclerosis Using a Commercial EMG sensor 10

SVM-based Tool to Detect Patients with Multiple Sclerosis Us...

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10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Akhmadeev, Konstantin Houssein, Aya Moussaoui, Said Hogestol, Einar A. Tutturen, Ingerid Harbo, Hanne F. Bos-Haugen, Steffan D. Graves, Jennifer Laplaud, David-Axel Gourraud, Pierre-Antoine Univ Nantes UMR 6004 LS2N Nantes France Ecole Cent Nantes UMR 6004 LS2N Nantes France Univ Oslo Inst Clin Med Dept Neurol Oslo Norway Oslo Univ Hosp Dept Neurol Oslo Norway Univ Calif San Francisco Sch Med Dept Neurol San Francisco CA USA Univ Nantes INSERM Ctr Rech Transplantat & Immunol UMR 1064 Nantes France

ISBN: (纸本)9781538647523

Multiple sclerosis (MS) is a major auto-immune disease that is the leading cause of non-traumatic impairment of the central nervous system (CNS) in young adults. Successful treatment of MS patients depends on accurate tools for both the MS diagnosis and the disability progression. In current and upcoming studies the authors aim to explore the capabilities of applying a commercial electromyographic and inertial sensor (MYO Armband by Thalmic Labs Inc.), coupled with a multichannel signal processing tool, to standard neurological examination of MS progression. In this pilot study we formulate a two-class "healthy control" - "having MS" classification problem. A dataset of electromyographic signals and inertial sensor measurements from 71 individuals (31 MS patients and 40 healthy controls) was acquired during standard neurological examination routine. Temporal and spectral features of the signals were extracted in order to train and validate a classification model. Finally, a Support Vector Machine classifier was obtained giving AUROC = 0.94, 95% CI = [0.88, 0.99]. We propose a set of signal descriptors that correlate with objective components of the neurological examination. The proposed signal acquisition and processing technique, being easy to integrate into the traditional neurological exam, may have high potential for aiding in quantifying MS progression.

关键词： Electromyography Feature extraction Protocols signal processing Support vector machines Multiple sclerosis Foot"

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Semi-Passive RIS-Aided Sequential Channel Estimation and Prediction 13

Semi-Passive RIS-Aided Sequential Channel Estimation and Pre...

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13rd ieee sensor array and multichannel signal processing workshop (SAM)

作者： Haider, Mirza A. Zhang, Yimin D. Ding, Yanwu Shen, Dan Khanh Pham Chen, Genshe Temple Univ Dept Elect & Comp Engn Philadelphia PA 19122 USA Wichita State Univ Dept Elect & Comp Engn Wichita KS 67260 USA Intelligent Fus Technol Inc Germantown MD 20876 USA Air Force Res Lab Kirtland AFB NM 87117 USA

ISBN: (纸本)9798350344820;9798350344813

The popularity of mmWave in 5G and future communications is hindered by challenging propagation environments, such as line-of-sight obstruction. Reconfigurable intelligent surfaces (RIS) address this issue by dynamically modifying wireless channels, thereby enhancing data rates, reducing latency, and improving reliability in non-line-of-sight scenarios. For high data-rate communication and precise mobile user localization, a large RIS is required, resulting in a high pilot overhead for channel estimation. To address this issue, we exploit a semi-passive RIS with sparsely distributed active RIS elements in lieu of fully passive RIS. This approach efficiently enables channel estimation both between the base station and the RIS as well as between the RIS and the mobile users. Structured covariance matrix interpolation optimally utilizes the array aperture from the sparsely placed active RIS elements. Recognizing the need for frequent channel estimation, we introduce a recurrent neural network-based model for sequential channel prediction, resulting in a significant reduction of the required training pilot signals. Simulation results affirm the capability and effectiveness of the proposed approach to enhance data transmission.

关键词： Channel estimation reconfigurable intelligent surface sparse array neural network sequential learning

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Fundamental Investigation of Wi-Fi Beamforming Report Properties on Wireless Sensing 12

Fundamental Investigation of Wi-Fi Beamforming Report Proper...

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

作者： Kato, Sorachi Matsukawa, Takuma Murakami, Tomoki Fujihashi, Takuya Watanabe, Takashi Saruwatari, Shunsuke Osaka Univ Grad Sch Informat Sci & Technol Suita Osaka Japan Osaka Univ Sch Engn Suita Osaka Japan NTT Corp Access Network Serv Syst Labs Yokosuka Kanagawa Japan

ISBN: (纸本)9781665406338

In the Wi-Fi network standards, channel state information (CSI) in ieee 802.11n and compressed beamforming report (CBR) in ieee 802.11ac and ax are utilized for highspeed and reliable wireless communications. Given that the CSI can accurately mirror physical changes in the wireless channel, CSI is also widely used for several sensing purposes. In recent years, CBR, the compressed form of CSI, is also used to realize wireless sensing by using ieee 802.11ac-compatible wireless devices. Many studies on CSI-based sensing and CBR-based sensing rely on experimental measurements to demonstrate their feasibility, but the performance gap between the CSI-based and CBR-based sensing is not well discussed. In addition, the effect of the time-varying phase offset on the sensing performance is also still unclear. In this paper, we set up a simulation environment and clarify the feasibility of CBR-based sensing by dealing with practical sensing tasks with CBR. Our simulations find that CBRbased sensing with frequency analysis achieves high accuracy comparable to CSI-based sensing, whereas the time series data is considerably distorted due to bit quantization, and that existing sensing methods relying on the nature of CSI are unsuitable for CBR.

关键词： Wireless Sensing ieee 802.11ac Channel State Information Compressed Beamforming Report

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Forward-looking planar array 3D-STAP using space time illumination patterns (STIP)

Forward-looking planar array 3D-STAP using space time illumi...

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4th ieee sensor array and multichannel signal processing workshop

作者： Corbell, Phillip M. Temple, Michael A. Hale, Todd B. SNHE Air Force Res Lab Hanscom AFB MA 01731 USA ENG Air Force Inst Technol Wright Patterson AFB OH USA

ISBN: (纸本)1424403081

Close-in sensing is needed for urban warfare operations, where Ground Moving Target Indication (GMTI) could be provided via forward or rear-facing multi-function array radars mounted on small highly-maneuverable airborne platforms. However, airborne radar arrays oriented any direction other than side-looking cause an elevation dependent angle-Doppler relationship in the clutter returns. This non-stationarity is acute in close-in sensing geometries where elevation diversity exists over the scene of interest. However, planar arrays have an inherent advantage over linear arrays due to their ability to observe clutter statistics as a function of elevation. This paper demonstrates the utility of elevation diversity by synthesizing a single 3D-STAP filter that exhibits an elevation dependent azimuth-Doppler response which is tailored to null the clutter "bowl" which characterizes the forward-looking clutter spectrum. Such a capability is particularly exploitable on transmit, where all elevation angles are simultaneously illuminated. To demonstrate potential benefits, this paper proposes the use of recently developed Space Time Illumination Patterns (STIP) from a planar AESA to invoke elevation diverse space-time illumination in a forward-looking clutter scenario. It is shown that 3D-STIP (azimuth-elevation-Doppler) facilitates elevation specific space-time beamforming which removes the clutter energy from a given Doppler frequency across all ranges, potentially simplifying processing on receive. Simulations using synthesized training data and clairvoyant covariance knowledge are conducted to demonstrate proof-of-concept.

关键词： Radar systems

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