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检索条件"任意字段=13th Conference on Signal and Data Processing of Small Targets"

共 447 条记录，以下是11-20 订阅

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A multiple model multiple hypothesis filter for tracking maneuvering targets

A multiple model multiple hypothesis filter for tracking man...

引用

13th conference on signal and data processing of small targets

作者： Driessen, H Boers, Y THALES NEDERLAND NL-7554 RR Hengelo Netherlands

ISBN: (纸本)0819441872

In this paper a new method is presented to deal with multiple model filtering. the method is the so called Multiple Model Multiple Hypothesis Filter (MMMH filter). For each hypothesis a Kalman filter is running. this hypothesis represents a specific model mode sequence history. the proposed method has a high level of genericity and is highly flexible. the main feature is that the number of hypotheses that are maintained varies with the 'difficulty' of a scenario. It is shown that the MMMH performs better than the widely used Interacting Multiple Model (IMM) filter.

关键词： target tracking mutiple model filtering radar systems

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Multi-level thresholding and confidence testing detection algorithm for small moving target in image sequences

Multi-level thresholding and confidence testing detection al...

引用

13th conference on signal and data processing of small targets

作者： Chen, HM Sun, GF Lu, HZ Qing, C Natl Univ Def Technol ATR Lab Changsha Hunan Peoples R China

ISBN: (纸本)0819441872

this paper describes a new method of small target detection according to the features of small moving targets. this method bases on multi level threshold decision-making and sliding trajectory confidence testing technology. Energy accumulating, multi-level thresholding, trajectory searching and matching, and trajectory confidence testing are combined in this method. the detection resolves the contrary requirement of real-time processing, large data throughput, high detection capability in small moving target detection in IR image sequences. Experiments have been conducted, the results show that the algorithm has advantages of high detection probability, simple structure, and excellent real time performance.

关键词： image sequences small moving target detection multi-level thresholding Trajectory Confidence Testing

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Use of joint data association probabilities for covariance consistency

Use of joint data association probabilities for covariance c...

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13th conference on signal and data processing of small targets

作者： Blair, WD Brown, GC Georgia Inst Technol Georgia Tech Res Inst Atlanta GA 30332 USA

ISBN: (纸本)0819441872

Covariance consistency is a critical element of a robust target tracking system. Target maneuvers and measurement origin uncertainty pose significant challenges to a tracking algorithm achieving covariance consistency. the Interacting Multiple Model (IMM) estimator is a nearly consistent estimator for tracking maneuvering targets. While the Probabilistic data Association Filter (PDAF) achieves covariance, consistency for a single target in presence of false alarms, achieving covariance consistency while tracking multiple closely-spaced targets is an open Issue. When using an unique assignment technique for associating measurements-to-tracks, the measurements are typically processed with the track filter as if the measurement-to-track association probabilities are unity for each measurement-track pair. this processing of the measurements results in poor covariance consistency for closely-spaced targets. In this paper, the use of approximate association probabilities for each measurement-to-track pair is proposed for the unique assignments and included in the track filter processing of the measurement to enhance the covariance consistency for closely-spaced targets.

关键词： tracking data association radar systems

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Probabilistic data association filter with binomial distributed false alarms for radar tracking

Probabilistic data association filter with binomial distribu...

引用

13th conference on signal and data processing of small targets

作者： Blair, WD Brown, GC Georgia Inst Technol Georgia Tech Res Inst Sensors & Electromagnet Applicat Lab Air & Missile Def Div Atlanta GA 30332 USA

ISBN: (纸本)0819441872

In this paper, two modifications are made to the derivation of the PDAF: one replaces the Poisson distributed false alarms with a binomial distribution, the other involves the assumed distribution of the angular measurements associated with false alarms. the Binomial distribution better fits the kind of data typically seen in radar because the track gate typically, involves a small number of candidate range cells. the second modification is founded on the assumption that the angle-of-arrival estimates are produced with monopulse techniques. Previous work has modeled the false measurements as being uniformly distributed in the uncertainty volume of the track gate, while a more accurate approach recognizes that the angle components of the false alarms are better modeled as Gaussian perturbations about beam center.

关键词： multitarget tracking data association radar signal processing phased array radar systems

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GMTI-tracking and information fusion for ground surveillance

GMTI-tracking and information fusion for ground surveillance

引用

13th conference on signal and data processing of small targets

作者： Koch, WG FKIE FGAN D-53343 Wachtberg Germany

ISBN: (纸本)0819441872

the aim of ground surveillance with airborne GMTI radar is the near real-time production of a dynamic ground picture. Since the sensors often record merely certain aspects of the situation of interest, information fusion is of particular importance. In addition, even after platform motion compensation by signal processing techniques (STAP), ground moving targets can well be masked by the clutter notch of the sensor. this physical phenomenon directly results from the low-DOPPLER characteristics of the targets and causes interfering fading effects that seriously affect the tracking performance/continuity. In this context a GMTI sensor model provides significant performance improvements being relevant also to sensor data fusion. the Minimum Detectable Velocity (MDV) proves to be an important sensor parameter explicitly entering into GMTI tracking. In combination with road map information or sensor data fusion the refined model can in particular alleviate the recognition of stopping targets. A numerical example quantitatively illustrates the potential gain by exploiting GMTI-modeling, road-maps, and sensor fusion.

关键词： ground moving targets (GMT) GMTI radar Bayesian target tracking PDA MHT sensor data fusion road map information minimum detectable velocity (MDV) space-time adaptive processing (STAP) doppler blindness

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Method for reticon signal processing in the Lower Latitude Meridian Circle (LLMC)

Method for reticon signal processing in the Lower Latitude M...

引用

13th conference on signal and data processing of small targets

作者： Li, BH Yang, L Mao, W Tie, QX Wang, XB Zhang, ZS Chinese Acad Sci Yunnan Observ Kunming Peoples R China

ISBN: (纸本)0819441872

the functions and characteristics of the 1(st) to 9(th) Reticon signals used to measure positions of reticle/slit images in the LLMC are described in this paper. According to their characteristics, we present a new method to process these Reticon signals, which consists of a filtering algorithm and a centering algorithm. the filtering algorithm is developed to process the 5(th) to 9(th) Reticon signals, because in these signals there are obvious disturbance components caused by the backaround light in the microscopes. An auto-estimating technique is developed to estimate and eliminate the disturbance signal of the background light by a piecewise-linear fitting. the centering algorithm is used to determine the positions of all the reticle/slit images in 3 steps. the first is to search all the wave crests and troughs of a Reticon signal, the next is to determine a threshold for each wave and then to center the wave by a modified moment method so as to get the position of the reticle/slit image, and the last step is to average all the position data of the waves in a Reticon signal to get an integrate position data of a group of reticles/slits in the corresponding reading microscope, the technique of implementation of the method in C++ programming language is also described in the paper.

关键词： signal processing filtering centering Reticon LLMC

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A SAR Moving targets Imaging Algorithm Design and Implementation Based on CUDA 13

A SAR Moving Targets Imaging Algorithm Design and Implementa...

引用

13th IEEE International conference on signal processing (ICSP)

作者： He Kunxi Sun Jinping Zhang Yuan Sun Wei Beihang Univ Sch Elect & Informat Engn Beijing Peoples R China

ISBN: (纸本)9781509013456

In the application of SAR moving targets imaging, typical algorithms are generally complex, requiring powerful floating-point computing ability and a lot of time. Starting with analysis of the error of conventional still targets imaging algorithms, this paper designs a moving targets imaging algorithm by error compensation and motion parameters estimation. this algorithm is simple but efficient, and easily parallelized as well. therefore, we implement the algorithm based on the widely used Compute Unified Device Architecture (CUDA) platform and test this implementation with data acquired from real SAR system. Tests prove the effectiveness of this algorithm and the implementation on CUDA shows very high computational efficiency. For every testing moving target, the implementation is able to finish the imaging processing within one second.

关键词： SAR moving targets imaging parameters estimation CUDA

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New lamps for old: A shell game for generalized likelihood ratio use in radar? Or this isn't you father's GLR!

New lamps for old: A shell game for generalized likelihood r...

引用

13th conference on signal and data processing of small targets

作者： Kerr, th TeK Associates Lexington MA USA

ISBN: (纸本)0819441872

We alert the reader here to a discrepancy between what has recently been referred to as the Generalised Likelihood Ratio (GLR) approach to radar target detection and what has historically been used as the GLR approach to this same problem in detection theory. Despite these identified discrepancies, the recent version is tractable arid has desirable properties and consequently exhibits behavior that is very encouraging. After making the necessary clarifications, we summarize the status of the new pseudo-GLR and contrast it to what was available from the older (evidently antiquated) literature on GLR formulation, which, however, did serve as an historical precedent.

关键词： detection theory from first principles statistical basis of generalized likelihood ratio hypotheses tests mixed hypotheses GLR radar target detection and tracking nonlinear filtering growing banks-of-kalman filters (not IMM) central limit theorem (CLT) update

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A Novel Method for Low-Speed Dim small Target Detection 13

A Novel Method for Low-Speed Dim Small Target Detection

引用

13th International Congress on Image and signal processing, BioMedical Engineering and Informatics (CISP-BMEI)

作者： Meng, Fan Ni, Xue Yang, Guang Jia, Qianqian Nanjing Marine Radar Inst Nanjing Peoples R China Army Engn Univ PLA Coll Commun Engn Nanjing Peoples R China

ISBN: (纸本)9780738105451

Low-speed dim small targets are not easily detected by radar in a clutter environment. In this paper, we propose a novel approach to improve the detection probability of low-speed dim small targets, which is to convert radar data into two-dimensional images to achieve background noise suppression. Firstly, we extract the data of the target and its surroundings by setting the detection domain and make the radar data map into the data of 256 gray grades for image processing. In order to suppress clutter, we develop the improved Bilateral filter (IBF) and apply the Doppler velocity as a weight term of the Gaussian function. Combined with the weight term of spatial distance, the detection domain can be significantly enhanced. then, the target region contour is extracted by the adaptive threshold segmentation method from the background, and the target focused is accumulated, combining with Doppler velocity. the results show that the proposed method can effectively keep the edge of the target domain and weaken the noise background, thereby improving the detection probability of the target.

关键词： target detection bilateral filter doppler velocity detection probability

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An improved clustering approach for multiplatform data fusion

An improved clustering approach for multiplatform data fusio...

引用

13th conference on signal and data processing of small targets

作者： de Waard, HW Elgersma, V Thales Naval Nederland BV NL-7550 GD Hengelo Netherlands

ISBN: (纸本)0819441872

In the first part of the paper a new solution is proposed for distributed multiplatform data fusion, in which the different platforms exchange only compressed, track-related information. An improved clustering concept is introduced based on the premise that a cluster call contain a number of independent components, and based oil the definition of a marginal bearing density function for the measurements produced by a certain track. Based oil the found independent components new clusters can be formed. In the second part of the paper experimental evidence for the existence of independent components is presented. Furthermore, for the simulated multiplatform system experimental results concerning platform tracking and the reduction in the use of computer computation time, based oil implemented measures from,(1) are presented.

关键词： Distributed multiplatform data fusion multiple target tracking data-association M(ultiple) H(ypothesis) T(racking) independent component standard building block

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