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检索条件"任意字段=18th Conference on Signal and Data Processing of Small Targets"

共 390 条记录，以下是31-40 订阅

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Multi-targets Miss Distance Measurement using Sequential Range-Doppler Image

Multi-Targets Miss Distance Measurement using Sequential Ran...

引用

2012 IEEE 11th International conference on signal processing(ICSP 2012)

作者： Dingwei Feng Siliang Wu Guohua Wei School of Information and Electronics Beijing Institute of Technology

ISBN: (纸本)9781467321969

A new approach is described for combining a series of sequential range and Doppler data from single radar platform to perform multi-targets miss distance measurement (MTMDM). In MTMDM, the difference between targets is mainly in range domain, not velocity. this difference leads to resemblance or aliasing in time curves of multi-targets Doppler frequency. Moreover, the miss distance measurement (MDM) using only distance information has some limitations such as larger measurement errors in case of small miss distance. In the new approach, the information of range and Doppler frequency will be first extracted using the centroid estimation method from range-Doppler image. then the extracted information will be jointly used for multi-targets data association, tracking as well as MDM. the data association and fusion of range and Doppler can distinguish multi-targets, and improve the accuracy of the MDM more effectively. the experimental results will prove the efficiency of the proposed method.

关键词： multi-targets miss distance measurement range-Doppler image data fusion

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REDUCING thE TRAINING SET USING SEMI-SUPERVISED SELF-TRAINING ALGORIthM FOR SEGMENTING thE LEFT VENTRICLE IN ULTRASOUND IMAGES

REDUCING THE TRAINING SET USING SEMI-SUPERVISED SELF-TRAININ...

引用

18th IEEE International conference on Image processing (ICIP)

作者： Nascimento, Jacinto C. Carneiro, Gustavo Inst Super Tecn Inst Sistemas & Robot P-1049001 Lisbon Portugal

ISBN: (纸本)9781457713033

Statistical pattern recognition models are one of the core research topics in the segmentation of the left ventricle of the heart from ultrasound data. the underlying statistical model usually relies on a complex model for the shape and appearance of the left ventricle whose parameters can be learned using a manually segmented data set. Unfortunately, this complex requires a large number of parameters that can be robustly learned only if the training set is sufficiently large. the difficulty in obtaining large training sets is currently a major roadblock for the further exploration of statistical models in medical image analysis. In this paper, we present a novel semi-supervised self-training model that reduces the need of large training sets for estimating the parameters of statistical models. this model is initially trained with a small set of manually segmented images, and for each new test sequence, the system re-estimates the model parameters incrementally without any further manual intervention. We show that state-of-the-art segmentation results can be achieved with training sets containing 50 annotated examples.

关键词： data models Image segmentation Manuals Robustness Training Ultrasonic imaging Vectors

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Radar detection of multiple moving targets in clutter using time-frequency-radon transform

Radar detection of multiple moving targets in clutter using ...

引用

14th conference on signal and data processing of small targets

作者： Chen, VC USN Res Lab Div Radar Washington DC 20375 USA

ISBN: (纸本)0819444782

In this paper, we analyze features of radar returns from moving targets, introduce the basic concept of time-frequency-Radon transforms, describe the Radon transform for line feature detection, discuss their applications to detection of multiple moving targets in clutter, and demonstrate two examples of moving target detection using simulated radar data.

关键词： time-frequency transform Radon transform moving targets multiple targets

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TRACK BEFORE DETECT DOA TRACKING OF EXTENDED targets WIth MARKED POISSON POINT PROCESSES 18

TRACK BEFORE DETECT DOA TRACKING OF EXTENDED TARGETS WITH MA...

引用

18th International conference on Information Fusion (Fusion)

作者： Saucan, Augustin-Alexandra Chonavel, thierry Sinles, Christophe Le Caillec, Jean-Marc Inst Mines Telecom Telecom Bretagne CNRS LabSTICC UMR 6285 Technopole Brest Iroise CS 83818 F-29238 Brest 3 France

ISBN: (纸本)9780982443866

In this paper we propose a novel Track Before Detect (TBD) filter aimed at tracking multiple extended targets from phased-array observations. For extended targets, the source signal is angularly distributed, and hence we track the centroid Direction Of Arrival (DOA) of the target generated signal - called target signal. In this work we suppose known the shape and extent of the target-signal angular spread. Solutions based on extending the system state, to include the target signal, lead to higher-dimensional posteriors. We avoid an extended state by using a novel Marked Poisson Point Process (MPPP) model for the system, and accordingly, we derive the intensity/PHD filter that adaptively estimates target number and corresponding centroid DOAs. the source signals are interpreted as the mark of a target, and they are analytically integrated in the update formula of the filter. therefore, an efficient particle filter implementation is possible. Results on simulated data showcase the improved results of the proposed filter over state-of-the-art methods.

关键词： DOA tracking marked Poisson point process track before detect extended target DBSCAN

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Parameter estimation for multistatic active sonar using extended fixed points 18

Parameter estimation for multistatic active sonar using exte...

引用

18th International conference on Information Fusion (Fusion)

作者： Broetje, Martina Pikora, Kolja Fraunhofer FKIE Dept Sensor Data & Informat Fusion Wachtberg Germany Univ Kiel Fac Engn Digital Signal Proc & Syst Theory Kiel Germany Bundeswehr Tech Ctr Ships & Naval Weap Naval Technol & Res Res Dept Underwater Acoust & Marine Geophys Kiel Germany

ISBN: (纸本)9780982443866

the main task of multistatic active sonar is the localisation and tracking of objects of interest (targets). therefore, a precise knowledge of the parameters of the multistatic scenario is mandatory. these are the positions of the acoustic sources, the times of transmission, as well as the position and heading of the own sonar sensor. Reflections from so called "fixed points" can be used to improve knowledge about these parameters. A fixed point can be a wreck or geographical feature (e.g. a small island) with known position. In general these fixed points consist of multiple scattering points, thus, the assumption of a point-like target is not fulfilled. In this paper we discuss the impact that an extension of the fixed point has on the estimation process and derive a method within the Kalman filter measurement update to incorporate knowledge about the extension in the estimation approach. Results will be discussed for simulated data.

关键词： Sonar

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Detection of small target in IR image sequences using VSLMS

Detection of small target in IR image sequences using VSLMS

引用

16th conference on signal and data processing of small targets

作者： Ng, LN Ronda, V Lim, ET Nanyang Technol Univ Sch Elect & Elect Singapore Singapore

ISBN: (纸本)081945351X

A Vertical-Strip Least Mean Squared (VSLMS) algorithm is proposed to enhance the detection of small moving targets in IR image sequences. this algorithm is an improvement over the Two-Dimensional LMS (TDLMS), which is designed to detect small targets within highly correlated background of static images. this paper focuses on processing IR image sequences with different background features with layers of sky, sea and land clutter. the VSLMS uses multiple LMS modules and a different scanning method to process individual lines in the IR image sequences. Simulation results show successful enhancement of very small targets in an IR mage sequence.

关键词： VSLMS IR image sequences TDLMS

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Iterative Pre-Whitening Projection Statistics for Non-Homogeneous Clutters with Multiple targets

Iterative Pre-Whitening Projection Statistics for Non-Homoge...

引用

18th Asia-Pacific conference on Communications (APCC) - Green and Smart Communications for IT Innovation

作者： Park, Hyuck Kang, Jin Whan Kim, Sang-Hyo Samsung Thales R&D Ctr Yongin 449885 South Korea Sungkyunkwan Univ Coll Informat & Commun Engn Suwon 440746 South Korea

ISBN: (纸本)9781467347280

In this paper, we propose a modified iterative pre-whitening projection statistics (MIPPS) method for multi-target detection in non-homogeneous clutters. MIPPS determines and excludes non-homogeneous data samples by iteratively updating a pre-whitening matrix and performing the PS algorithm. Numerical results show that MIPPS improves the average detection probability of weak target when multiple targets with different signal intensities are mixed at low signal-to-clutter ratios.

关键词： clutter signal Intensity Object detection data sampling targets Iterative PROJECTION Projection

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On Track-to-Track data Association for Automotive Sensor Fusion 18

On Track-to-Track Data Association for Automotive Sensor Fus...

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18th International conference on Information Fusion (Fusion)

作者： Duraisamy, Bharanidhar Schwarz, Tilo Woehler, Christian Daimler AG Res & Dev Grp Ulm Germany TU Dortmund Univ Image Anal Grp Dortmund Germany

ISBN: (纸本)9780982443866

When fusing data from more than one information source, it is important to associate the correct pair of the data available from the information sources to achieve an optimal fused result. the responsibility of the task of proper association lies on the data association method used in the system. the design of the data association method has to be done considering the requirements of the application, quality and quantity of the information provided by the sensors. Parameters such as: whether the fusion is carried out in a centralized or decentralized architecture, whether the data available from the sensors is raw and unprocessed data or already processed by the built-in signal processing system of the sensor, plays a role in the finalization of the data association problem. the data association problem in a decentralized sensor fusion setting, also known as track-to-track association, is discussed in detail in this paper. the information sources used in this paper are environment perception sensors based on different measurement principles used for automotive safety and autonomous driving functions. the sensors deliver kinematic and as well as non-kinematic information on the tracked targets. To make use of this non-kinematic target information, attribute based association methods in-addition to the traditional data association methods and results based on the real world data are presented in this paper. A video recorded under real world test conditions that include sensor data and results will be made available for the community.

关键词： Kinematics

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Tracking with asynchronous multiple sensors

Tracking with asynchronous multiple sensors

引用

13th conference on signal and data processing of small targets

作者： Gray, JE McCabe, DH USN Ctr Surface Warfare Dahlgren Div Syst Res & Technol Dept Dahlgren VA 22448 USA

ISBN: (纸本)0819441872

Sensor data fusion has long been recognized as a means to improve target tracking. Common practice assumes that the sensors used are synchronous (i.e., perform the, same operation at the identical time), take measurements at the same time and have no communication delays between sensor platforms and the central processing center. Such assumptions are not valid in practice. this paper removes these assumptions when dealing with multisensor target tracking. In particular, it assumes that the sensors used can have different data rates and communication delays between local and central platforms. A new tracking algorithm using asynchronous sensors is proposed and derived in this paper.

关键词： Filtering (signal processing) Lithium Sensors Silicon Zinc Electronic filtering Lutetium data communications data processing signal processing

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RF Solder Ball Break Detection in Automotive FMCW Radars Using Isolated targets' Phase 18

RF Solder Ball Break Detection in Automotive FMCW Radars Usi...

引用

18th International conference on Ph.D Research in Microelectronics and Electronics (PRIME)

作者： Ghafi, Esmaeil Kavousi Lang, Oliver Wagner, Matthias Melzer, Alexander Huemer, Mario Johannes Kepler Univ Linz Inst Signal Proc Linz Austria Infineon Technol Linz GmbH & Co KG Linz Austria

ISBN: (纸本)9798350303209

Embedded wafer level ball grid array (eWLB) packaging is a common technology for radar transceiver monolithic microwave integrated circuits (MMICs) in the automotive radar industry. One of the challenging issues with the eWLB packages is the radio frequency solder ball breaks (BBs), due to its adverse effects on the radar performance. In this paper, a method for BB detection (BBD) based on digital signal processing is proposed. this method exploits the collected data from the environment during the sensing task of the radar receiver to detect BBs in real-time. To the best of the authors' knowledge, this work is the first one that addresses the BBD problem solely by digital signal processing, meaning that no additional analog hardware is required for the detection. To validate the performance of the proposed method, simulation results for measured radar data are provided.

关键词： Automotive radar embedded wafer level ball grid array FMCW monolithic microwave integrated circuit solder ball break detection

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