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Autoencoder-based Joint Communication and Sensing of Multiple targets 26

Autoencoder-based Joint Communication and Sensing of Multipl...

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26th International ITG Workshop on Smart Antennas, WSA 2023 and 13th conference on Systems, Communications, and Coding, SCC 2023

作者： Muth, Charlotte Schmalen, Laurent Hertzstr. 16 Karlsruhe76187 Germany

ISBN: (纸本)9783800760510

for building a joint communication and sensing (JCAS) system that enables communication with one user while detecting multiple radar targets and estimating their positions. Foremost, we develop a suitable encoding scheme for the training of the AE and for targeting a fixed false alarm rate of the target detection during training. We compare this encoding with the classification approach using one-hot encoding for radar target detection. Furthermore, we propose a new training method that complies with possible ambiguities in the target locations. We consider different options for training the detection of multiple targets. We can show that our proposed approach based on permuting and sorting can enhance the angle estimation performance so that single snapshot estimations with a low standard deviation become possible. We outperform an ESPRIT benchmark for small numbers of measurement samples. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： signal encoding

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On track and tracklet fusion filtering

On track and tracklet fusion filtering

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14th conference on signal and data processing of small targets

作者： Drummond, OE CyberRnD Inc Culvar City CA 90230 USA

ISBN: (纸本)0819444782

Track and tracklet fusion filtering is complicated because the estimation errors of tracks from two sources for the same target may be cross-correlated. this cross-correlation of these errors should be taken into account when designing the filter used to combine the track data. this paper addresses the various track and tracklet fusion methods and their impact on communications load and tracking characteristics. In track and tracklet fusion a sequence of measurements is processed at the sensor or platform level to form tracks;then sensor level track data (in the form of tracks or tracklets) for a target is distributed and fused with each other or with a global track. Track Fusion and Tracklet Fusion are also sometimes called Hierarchical Fusion, Federated Fusion, or Distributed Fusion. Track data can include features or other information useful for target classification. One characteristic of track and tracklet fusion that distinguishes one method from another is whether the local track data is combined or if global tracks are maintained and updated using the sensor track data. Another important issue is whether there is filter process noise to accommodate target maneuvers. Some filtering methods are designed for maneuvering targets and others are not. this paper enumerates the various track and tracklet fusion methods for processing data from distributed sensors and their impact on filter performance and communications load.

关键词： target tracking multiple sensor tracking track fusion multiple target tracking sensor data fusion Bayesian methods tracklet distributed tracking estimation and filtering

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On expectation maximization applied to GMTI convoy tracking

On expectation maximization applied to GMTI convoy tracking

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14th conference on signal and data processing of small targets

作者： Koch, W FGAN FKIE D 53343 Wachtberg Neuenahrer Strasse 20 Germany

ISBN: (纸本)0819444782

Collectively moving ground targets are typical of a military ground situation and have to be treated as separate aggregated entities. For a long-range ground surveillance application with airborne GMTI radar we in particular address the task of track maintenance for ground moving convoys consisting of a small number of individual vehicles. In the proposed approach the identity of the individual vehicles within the convoy is no longer stressed. their kinematical state vectors are rather treated as internal degrees of freedom characterizing the convoy. which is considered as a collective unit. In this context, the Expectation Maximization technique (EM), originally developed for incomplete data problems in statistical inference and first applied to tracking applications by STREIT et al. [1, 2], seems to be a promising approach. We suggest to embed the EM algorithm into a more traditional Bayesian tracking framework for dealing with false or unwanted sensor returns. the proposed distinction between 'external' and 'internal' data association conflicts (i.e. those among the convoy vehicles) should also enable the application of sequential track extraction techniques introduced by VAN KEUK [3] for aircraft formations, providing estimates of the number of the individual convoy vehicles involved. Even with sophisticated signal processing methods (STAP: Space-Time Adaptive processing). ground moving vehicles can well be masked by the sensor specific clutter notch (Doppler blinding). this physical phenomenon results in interfering fading effects, which can well last over a longer series of sensor updates and therefore will seriously affect the track quality unless properly handled. Moreover, for ground moving convoys the phenomenon of Doppler blindness often superposes the effects induced by the finite resolution capability of the sensor. In many practical cases a separate modeling of resolution phenomena for convoy targets can therefore be omitted, provided the GMTI detectio

关键词： Ground Moving targets (GMT) Expectation Maximization (EM) Bayesian/Probabilistic Multiple Hypothesis Tracking (PMHT, MHT, PDA) Minimum Detectable Velocity (MDV) Doppler blinding sensor resolution phenomena

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Real-Time Arial targets Tracking for Anti-UAV Systems Using OpenCV 13

Real-Time Arial Targets Tracking for Anti-UAV Systems Using ...

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13th International conference on Electrical Engineering, ICEENG 2022

作者： Dewedar, Mohamed Alaa Kamel, Ahmed Mohsen Hassan, Mohamed Abozied Elhalwagy, Yehia Z. Military Technical College Guidance Department Cairo Egypt

ISBN: (纸本)9781665435093

Recently, Unmanned Aerial Vehicles (UAVs) have been widely used in numerous applications nevertheless in military operations. therefore, there is a crucial need to develop various mechanisms to confront these UAVs. For this reason, the counter system must first determine targets' locations then track them. thus, Accurate target tracking is an important demand in the drone defense system. Because of the significant advancement in computers and software processors, it is now possible to employ these current programs in the operations of positioning and tracking. In this paper, an Open-Source Computer Vision (OpenCV) based drone tracking system is implemented as a tracking system. the performance of the proposed technique is investigated and analyzed through a comparative analysis using a small data set and its ground-truth generated by the annotation tool. the evaluation parameters presented in this study are precision percentage and time analysis. the simulation results present a tradeoff between the accuracy and execution time for the used techniques. © 2022 IEEE.

关键词： Electrical engineering Computers Computer vision Target tracking Program processors Military computing Simulation

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High Quality Large-Scale 3-D Urban Mapping with Multi-Master TomoSAR 13

High Quality Large-Scale 3-D Urban Mapping with Multi-Master...

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13th European conference on Synthetic Aperture Radar (EUSAR)

作者： Shi, Yilei Bamler, Richard Wang, Yuanyuan Zhu, Xiao Xiang Tech Univ Munchen TUM Chair Remote Sensing Technol LMF Munich Germany Tech Univ Munchen TUM Signal Proc Earth Observat SIPEO Munich Germany German Aerosp Ctr DLR Inst Remote Sensing Technol IMF Cologne Germany

ISBN: (纸本)9783800754571

Multi-baseline interferometric synthetic aperture radar (InSAR) techniques are effective approaches for retrieving the 3-D information of urban areas. In order to obtain a plausible reconstruction, it is necessary to use large-stack interferograms. Hence, these methods are commonly not appropriate for large-scale 3-D urban mapping using TanDEM-X data where only a few acquisitions are available in average for each city. this work proposes a new SAR tomographic processing framework to work with those extremely small stacks, which integrates the non-local filtering into SAR tomography inversion. the applicability of the algorithm is demonstrated using a TanDEM-X multi-baseline stack with 5 bistatic interferograms over the whole city of Munich, Germany. Systematic comparison of our result with airborne LiDAR data shows that the relative height accuracy of two third buildings is within two meters, which outperforms the TanDEM-X raw DEM. the promising performance of the proposed algorithm paved the first step towards high quality large-scale 3-D urban mapping.

关键词： Synthetic aperture radar

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A Comparison of Two Synchronization Measures for Neural data

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13th International conference on Biomedical Engineering (ICBME)

作者： Perko, H. Hartmann, M. Kluge, T. Austrian Res Ctr GmbH Neuroinformat Vienna Austria

ISBN: (纸本)9783540928409

In this paper we analyze the capability of two different signal synchronization measures to detect synchronized periodic signal components. We compare the periodic synchronization index (PSI), which was first introduced for the detection of epileptic seizures in EEG signals, with the widely known phase locking value (PLV). the PSI automatically detects the dominant periodic signal components utilizing Fourier series expansions and measures the synchronization between equivalent components in two signals. the PLV averages the difference between the analytic phases of two signals. Applying these two measures to synthetic data and EEG recordings we found clear advantages of the PSI over the PLV. Experiments with synthetic data and high signal to noise ratio (SNR) revealed no significant difference between the PSI and the PLV in their ability to detect small frequency deviations. However, in the presence of noise the detection performance of the PLV drops significantly. In particular, we found that the PLV relies on an SNR of nearly 3dB. In contrast, the performance with the PSI remained almost unchanged for SNR down to -4dB. this noise robustness of the PSI is due to the incorporation of harmonic oscillations resulting in an improved estimation of periodic signal components. When applied to the detection of early seizure phenomena in EEG data we found that the increase of the PSI at seizure onset is more pronounced and the variance of the measure during pre-ictal time periods is lower than for the PLV.

关键词： signal synchronization periodic synchronization index phase locking value

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An algorithm benchmark data suite for chemical and biological (chem/bio) defense applications

An algorithm benchmark data suite for chemical and biologica...

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20th conference on signal and data processing of small targets

作者： Slamani, Mohamed-Adel Fisk, Brian Chyba, thomas Emge, Darren Waugh, Steve ITT Corp Adv Engn & Sci Div 2560 Huntington Ave Alexandria VA 22303 USA Edgewood Chem Biolog Ctr Aberdeen Proving Ground MD 21010 USA Def Threat Reduct Agcy Ft Belvoir VA 22060 USA

ISBN: (纸本)9780819471604

A Chem/Bio Defense Algorithm Benchmark is proposed as a way to leverage algorithm expertise and apply it to high fidelity Chem/Bio challenge problems in a high fidelity simulation environment. Initially intended to provide risk mitigation to the DTRA-sponsored US Army CUGR ACTD, its intent is to enable the assessment and transition of algorithms to support P3I of future spiral updates. the key chemical sensor in the CUGR ACTD is the Joint Contaminated Surface Detector (JCSD), a short-range stand-off Raman spectroscopy sensor for tactical in-the-field applications. the significant challenges in discriminating chemical signatures in such a system include, but are not limited to, complex background clutter and low signal to noise ratios (SNR). this paper will present an overview of the Chem-Bio Defense Algorithm Benchmark, and the JCSD Challenge Problem specifically.

关键词： signal to noise ratio

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A Framework for the Generation of Guaranteed Stable small-signal Bias-Dependent Behavioral Models 13

A Framework for the Generation of Guaranteed Stable Small-Si...

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13th European Microwave Integrated Circuits conference, EuMIC 2018

作者： De Stefano, M. Grivet-Talocia, S. Bradde, T. Zanco, A. Dept. Electronics and Telecommunications Politecnico di Torino Italy

ISBN: (纸本)9782874870521

We present a numerical scheme for the identification of compact surrogate models of analog circuit blocks. the basic assumption is small signal operation, so that a local linearization can be applied around a given bias point, resulting in a bias-dependent linear state-space behavioral macromodel. the main novel contribution of this work is the ability to embed in the identification process a suitable set of constraints, that are able to guarantee the uniform stability of the model for any bias value within a prescribed design range. © 2018 European Microwave Association - EuMA.

关键词： Computational modeling Integrated circuit modeling Stability analysis Numerical stability Adaptation models data models Numerical models

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3DVAE-ERSG: 3D Variational Autoencoder for Extremely Rare signal Generation 13

3DVAE-ERSG: 3D Variational Autoencoder for Extremely Rare Si...

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13th International conference on Information Technology and Electrical Engineering, ICITEE 2021

作者： Chalongvorachai, thasorn Woraratpanya, Kuntpong King Mongkut's Institute of Technology Ladkrabang Faculty of Information Technology Bangkok Thailand

ISBN: (纸本)9781665443067

data generation is not data augmentation. Our data generation is a new technique that can synthesize a dataset from a very small number of samples and ensure the quality of its outputs. Recently, this concept has been proposed and applied in a framework called data Generation Framework for Extremely Rare Case signals (DGERS) to solve a problem of a limited number of anomaly signals. With the power of DGERS consisting of principal components, including various data augmentation techniques on diverse domains, signal Fragment Assembler (SFA), Variational Autoencoder (VAE), data Picker (DP), and Quality Classifier (QC), the generated dataset had the good quality, when evaluated with a performance tester. Nevertheless, the DGERS has not used the full potential of VAE yet. the previous framework used the VAE latent space in only two dimensions. To use a higher potential of VAE, this paper proposed a 3D Variational Autoencoder for Extremely Rare signal Generation (3DVAE-ERSG). this method increases the dimension of the latent space from 2D to 3D. We also proposed the 3D data Picker for data exploration. To test this hypothesis, we experimented with the same datasets that the DGERS method was tested before. the results show that our 3DVAE-ERSG can outperform the baseline in most cases. © 2021 IEEE.

关键词： Classification (of information)

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Passive tracking with sensors of opportunity using passive coherent location - art. no. 69691F

Passive tracking with sensors of opportunity using passive c...

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20th conference on signal and data processing of small targets

作者： Subramaniam, Mahes tharmarasa, R. McDonald, Mike Kirubarajan, T. McMaster Univ ECE Dept ETF Lab Hamilton ON Canada

ISBN: (纸本)9780819471604

Passive coherent location (PCL), which uses the commercial signals as illuminators of opportunity, is an emerging technology in air defense systems. the advantages of PCL are low cost, low vulnerability to electronic counter measures, early detection of stealthy targets and low-altitude detection. However, limitations of PCL include lack of control over illuminators, poor bearing accuracy, time-varying sensor parameters and limited observability. In this paper, multiple target tracking using PCL with high bearing error is considered. In this case, the challenge is to handle high nonlinearity due to high measurement error. In this paper, we implement the converted measurement Kalman filter, unscented Kalman filter and particle filter based PHD filter for PCL radar measurements and compare their performances.

关键词： passive radar system passive coherent location multitarget tracking data association covert tracking sensors of opportunity

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