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检索条件"任意字段=4th Conference of the Sensor Signal Processing for Defence, SSPD 2014"

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Implementation of Adaptive Kernel Kalman Filter in Stone Soup 12

Implementation of Adaptive Kernel Kalman Filter in Stone Sou...

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12th sensor signal processing for defence conference (sspd)

作者： Wright, James S. Hopgood, James R. Davies, Mike E. Proudler, Ian K. Sun, Mengwei Univ Edinburgh Inst Digital Commun Edinburgh EH9 3FG Midlothian Scotland Dstl Dstl Porton Down Bldg 5Rm 101 Salisbury SP4 0JQ Wilts England Univ Strathclyde Dept Elect & Elect Engn Ctr Signal & Image Proc CeSIP Glasgow G1 1XW Lanark Scotland

ISBN: (纸本)9798350337327

the recently proposed adaptive kernel Kalman filter (AKKF) is an efficient method for highly nonlinear and high-dimensional tracking or estimation problems. Compared to other nonlinear Kalman filters (KFs), the AKKF has significantly improved performance, reducing computational complexity and avoiding resampling. It has been applied in various tracking scenarios, such as multi-sensor fusion and multi-target tracking. By using existing Stone Soup components, along with newly established kernel-based prediction and update modules, we demonstrate that the AKKF can work in the Stone Soup platform by being applied to a bearing-only tracking (BOT) problem. We hope that the AKKF will enable more applications for tracking and estimation problems, and the development of a whole class of derived algorithms in sensor fusion systems.

关键词： Adaptive kernel Kalman filter Tracking Stone Soup

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Approximate Proximal-Gradient Methods 10

Approximate Proximal-Gradient Methods

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10th conference of the sensor-signal-processing-for-defence (sspd)

作者： Hamadouche, Anis Wu, Yun Wallace, Andrew M. Mota, Joao F. C. Heriot Watt Univ Sch Engn & Phys Sci Edinburgh EH14 4AS Scotland

ISBN: (纸本)9781665433143

We study the convergence of the Proximal-Gradient algorithm for convex composite problems when both the gradient and the proximal mapping are computed approximately. this scenario occurs when the gradient is computationally expensive and the proximal operator is not available in closed form and may be computed only up to a certain fixed precision. We establish tight deterministic bounds and propose new probabilistic upper bounds on the suboptimality of the function values along the iterations under some statistical assumptions on the perturbed iterates. We use the Proximal-Gradient algorithm to solve randomly generated LASSO problems while varying the fixed-point machine representation and the proximal computation precision.

关键词： Convex Optimization Proximal Gradient Approximate Algorithms

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Detection of Weak Transient signals Using a Broadband Subspace Approach 10

Detection of Weak Transient Signals Using a Broadband Subspa...

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10th conference of the sensor-signal-processing-for-defence (sspd)

作者： Weiss, Stephan Delaosa, Connor Matthews, James Proudler, Ian K. Jackson, Ben A. Univ Strathclyde Dept Elect Elect Engn Glasgow G1 1XW Scotland PA Consulting Global Innovat & Technol Ctr Cambridge Melbourn SG8 6DP England UK Def Sci & Technol Lab Dstl Salisbury SP4 0JQ England

ISBN: (纸本)9781665433143

We investigate the detection of broadband weak transient signals by monitoring a projection of the measurement data onto the noise-only subspace derived from the stationary sources. this projection utilises a broadband subspace decomposition of the data's space-time covariance matrix. the energy in this projected 'syndrome' vector is more discriminative towards the presence or absence of a transient signal than the original data, and can be enhanced by temporal averaging. We investigate the statistics, and indicate in simulations how discrimination can be traded off with the time to reach a decision, as well as with the sample size over which the space-time covariance is estimated.

关键词： Correlation Computational modeling signal processing Broadband communication Reliability Noise measurement Transient analysis

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Optical polarization-based acoustic pressure detector 4

Optical polarization-based acoustic pressure detector

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4th IEEE Middle East and North Africa COMMunications conference, MENACOMM 2022

作者： Grenar, David Sladok, Ondrej Filka, Miloslav Slavicek, Karel Vavra, Jiri Kyselak, Martin Brno University of Technology Department of Telecommunications Brno Czech Republic Masaryk University Institute of Computer Science Brno Czech Republic University of Defence Faculty of Military Technology Brno Czech Republic

ISBN: (纸本)9781665494113

the use of light polarization for sensor design has been gaining popularity in recent years. the principle of operation of these sensors consists of the propagation of polarized light by birefringent optical fibers, which, thanks to their construction, keep the light in two perpendicular planes with different light propagation velocities. this paper describes the design of a polarization-based fiber optic sensor focused on acoustic pressure detection. Experimental verification of the sensor's performance for the detection of acoustic pressure casued by explosions is studied. © 2022 IEEE.

关键词： Light polarization

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Unexpected Analog signal Change Detector Based on Memristive System 4

Unexpected Analog Signal Change Detector Based on Memristive...

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4th IEEE International conference on Emerging Trends in Electrical, Electronic and Communications Engineering, ELECOM 2022

作者： Vavra, Jiri Kohl, Zdenek Kyselak, Martin Slavicek, Karel Grenar, David University of Defence Department of Electrical Engineering Brno Czech Republic Institute of Computer Science Masaryk University Brno Czech Republic Brno University of Technology Department of Telecommunications Brno Czech Republic

ISBN: (数字)9781665466974

ISBN: (纸本)9781665466974

this paper introduces the possibility of utilizing memristive systems for analog signal processing. the design takes advantage of the specific properties of the mem element for processed signal filtering with a requirement for change detection. the polarity of the voltage on the mem element causes a change in its internal state. the induced change causes the comparator to flip and initiates audio and optical signaling. the proposed circuit is suitable for various detectors with binary outputs, e.g. motion, pressure, light, temperature, etc. the functionality is verified by measurements on a specific implemented prototype, which processes the signal from an optical fiber sensor detecting temperature changes. the temperature change causes a change in polarization, which can be pre-processed with a polarizer. © 2022 IEEE.

关键词： Polarization-maintaining fiber

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TRADEOFFS IN DETECTION AND LOCALISATION PERFORMANCE FOR MOBILE sensor SCANNING STRATEGIES 8

TRADEOFFS IN DETECTION AND LOCALISATION PERFORMANCE FOR MOBI...

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8th sensor signal processing for defence conference (sspd)

作者： Spyrou, Loukianos Chambersy, Pat Sellathuraiy, Mathini thompson, John Univ Edinburgh Sch Engn IDCOM Edinburgh EH9 3JL Midlothian Scotland Heriot Watt Univ Engn & Phys Sci Edinburgh EH14 4AS Midlothian Scotland

ISBN: (纸本)9781728105031

Wireless sensor networks enjoy many advantages over wired networks due to their ability to be deployed easily and flexibly in many scenarios. However, they suffer from the drawback that the environment may be unknown and hence the sensor network cannot easily be optimised for it. Furthermore, state-of-the-art studies only consider the detection and localisation performance separately. the main novelty of this work is that we compare the theoretical properties of three scanning strategies both in terms of their detection and localisation performance. We consider: a) sequential scanning, where all sensors scan the channels in sequence, b) groupwise scanning, where the sensors are split into groups with each one performing a sequential scan, and c) random scanning, where each sensor is assigned a channel at random. We demonstrate the theoretical properties of the strategies and perform a numerical evaluation for a typical radio surveillance scenario. the tradeoffs of the methods between detection and localisation performance are demonstrated to be dependent on the detection and localisation accuracy with respect to the number of sensors. Approximate knowledge of those curves can aid in the design of an optimal sensor scanning strategy.

关键词： sensor networks sensor scanning multiuser detection localisation

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Message Passing for Joint Registration and Tracking in Multistatic Radar 8

Message Passing for Joint Registration and Tracking in Multi...

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8th sensor signal processing for defence conference (sspd)

作者： Cormack, David Hopgood, James R. Heriot Watt Univ Sch Engn & Phys Sci Edinburgh EH14 4AS Midlothian Scotland Univ Edinburgh Sch Engn Edinburgh EH9 3FG Midlothian Scotland

ISBN: (纸本)9781728105031

sensor registration is fundamental in sensor fusion. Inaccuracies in sensor location and rotation can manifest themselves into the measurements used in Multiple Target Tracking (MTT), and dramatically degrade its performance. these registration parameters are often estimated separately to any multitarget estimation, which could lead to increased computational expense, and also to systematic errors. Recent works have shown that MTT algorithms derived from Belief Propagation (BP) are computationally efficient and highly scalable for large tracking scenarios. this work presents a hierarchical Bayesian model inspired by single-cluster methods from the Random Finite Set (RFS) literature, that allow for the registration parameters to be estimated jointly with the multiple target tracking. Simulations are carried out on a multistatic radar network containing two radars with a relative range and azimuth bias between them. Results are presented for a particle-BP MTT algorithm, and it's performance is compared to that of a Sequential Monte Carlo (SMC)-Probability Hypothesis Density (PHD) filter. the results show that the BP algorithm outperforms the PHD implementation in terms of accuracy by around 10%.

关键词： Data fusion sensor registration belief propagation radar target tracking

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Real-Time Deep Neuro-Vision Embedded processing System for Saliency-based Car Driving Safety Monitoring 4

Real-Time Deep Neuro-Vision Embedded Processing System for S...

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4th International conference on Circuits, Systems and Simulation, ICCSS 2021

作者： Rundo, Francesco Leotta, Roberto Battiato, Sebastiano STMicroelectronics ADG Central RandD Catania Italy

ISBN: (纸本)9781728167527

Recently, much interest has been aroused by scientific community regarding visual saliency-based applications. the proposed approach contributes to the progressive growth of knowledge of video saliency applications in the automotive field. through the visual saliency detection, the car driver assistance systems (ADAS i.e. Advanced Driver Assistance Systems) are able to process the driving observation scene selectively. Specifically, it has been observed that the drivers along the driving route, focuses his/her gaze on some objects rather than others. this is determined by the perceptual activity of the brain which through the visual saliency determine the focused scene. We propose a driving safety assessment pipeline which combines a near-real time drowsiness car driver monitoring system driven by a visual saliency detection applied to the acquired driving scene. the proposed approach includes ad-hoc 3D pre-trained Semantic Segmentation Deep Network combined with ad-hoc 1D temporal Deep Dilated Convolutional Neural Network. this architecture was developed for the embedded platform based on STA1295 Accordo5 core (ARM A7 Dual-Cores) embedding an hardware graphics accelerator. the proposed system embeds a bio-sensor which will be placed on the steering wheel of the car having the target to collect the driver's Photoplethysmography (PPG) signal and which will result in a control of driver attention level. the so collected PPG time-series will be classified by the mentioned 1D Temporal Deep Convolutional Network which provides an assessment of the driver attention level. A final analyzer block verifies if the car driver attention level is adequate for the saliency-based scene classification. the performed tests confirmed the effectiveness of the overall proposed pipeline. © 2021 IEEE.

关键词： Long short-term memory

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Direct Position Determination under the Presence of sensor Phase Errors with a Calibration Emitter 4

Direct Position Determination under the Presence of Sensor P...

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4th IEEE International conference on signal and Image processing (ICSIP)

作者： Wu, Guizhou Zhang, Min Guo, Fucheng Wu, Liuli Natl Univ Def Technol State Key Lab Complex Electromagnet Environm Effe Changsha Peoples R China

ISBN: (纸本)9781728136608

the problem of direct position determination (DPD)with single moving array in the presence of deterministic sensor phase errors is considered. To reduce the loss in localization accuracy due to these errors, a two step procedure is proposed. First, a calibration emitter whose position is known to the sensor array is used to determine the sensor phase errors based on the maximum likelihood estimator of DPD. then in the second step, the positions of the emitters are estimated by DPD with the previously estimated sensor phase errors. Besides, the Cramer-Rao lower bound (CRLB) expression for the estimation of sensor phase errors in the first step of the proposed method is given. At last, numerical simulations are provided to examine the performance of the proposed method.

关键词： Direct Position Determination sensor phase Errors Calibration Emitter Maximum Likelihood CRLB

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A Surface Plasmon Resonance sensor Based on D-Shaped All-Solid Photonic Crystal Fiber 4

A Surface Plasmon Resonance Sensor Based on D-Shaped All-Sol...

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4th Optoelectronics Global conference, OGC 2019

作者： Wang, Xueyu Zhang, Huixian Wu, Tiesheng Wang, Yiping Wang, Yiying Cao, Weiping Guangxi Key Laboratory of Wireless Broadband Communication and Signal Processing Guilin University of Electronic Technology Guilin541004 China Key Laboratory of Optoelectronic Devices and Systems Ministry of Education and Guangdong Province College of Optoelectronic Engineering Shenzhen University Shenzhen518060 China

ISBN: (纸本)9781728155388

In this letter, a surface plasmon resonance (SPR) sensor model based on all-solid birefringent photonic crystal fiber (PCF) is showed. this fiber biosensor configuration utilizes two large media rods in the x-axis to introduce birefringence into the structure and solves analyte filling problems in PCF-based SPR sensor by side-polishing fiber. We investigate the effect of the radius of the big media rods and the polishing depth on the performance of the SPR sensing, and confirm the relationship between wavelength and phase of SPR fiber sensor sensitivity. this investigation enables us to evaluate the probability of all-solid D-shaped PCF application to develop high sensitivity SPR sensors for chemical, biological, and biochemical sensing. © 2019 IEEE.

关键词： Photonic crystal fibers

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