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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71-80 订阅

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High-resolution radar ranging for multiple targets

High-resolution radar ranging for multiple targets

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14th conference on signal and data processing of small targets

作者： Wang, Z Willett, P Bar-Shalom, Y Blair, WD Univ Connecticut Storrs CT 06269 USA

ISBN: (纸本)0819444782

the similarity between the multiple-target radar ranging problem and the multi-user detection problem in CDMA is drawn: in CDMA, users' bits modulate distinct but correlated signature signals;while, in radar, the "bits" are range-bin occupancies and the "signatures" correspond to the known transmitted signal translated to be centered on the appropriate range bin. the analogy is useful: there has been a great deal of recent experience in CDMA, and one of the best and fastest algorithms uses a variant of probabilistic data association (PDA, the target-tracking philosopk). PDA can be augmented by group decision feedback (GDF) - another idea from CDMA - to refine the target delay- estimates;and finally minimum description length (MDL) is applied to estimate the munber of targets. Simulation examples are given to illustrate the resolution of closely-spaced targets within what would normally- be thought the same range bin. Its performance is also compared with the Cramer-Rao lower bound (CRLB) and the alternating projection (AP) algorithm.

关键词： Personal digital assistants Radar Detection and tracking algorithms Target detection Expectation maximization algorithms signal detection signal to noise ratio Ranging Correlation function Modulation

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A wavelet-based regularization scheme for HRR radar profile enhancement for use in automatic target recognition

A wavelet-based regularization scheme for HRR radar profile ...

引用

16th conference on signal and data processing of small targets

作者： Morris, HC DePass, MM San Jose State Univ Dept Math San Jose CA 95192 USA

ISBN: (纸本)081945351X

Cetin(1-2) has applied non-quadratic optimization methods to produce feature-enhanced high-range resolution (ERR) radar profiles. this work concerned ground-based targets and was carried-out in the temporal domain. In this paper, we propose a wavelet-based-half-quadratic technique(3) for ground-to-air target identification. the method is tested on simulated data generated by standard techniques(4). this analysis shows the ability of the proposed method to recover high-resolution features such as the locations and amplitudes of the dominant scatterers in the HRR profile. this suggests that the technique potentially may help improve the performance of HRR target recognition systems.

关键词： high range-resolution radar wavelets signal reconstruction non-quadratic optimization superresolution

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

Probabilistic data association filter with binomial distribu...

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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 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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Identification of Human Motion Signature using Airborne Radar data

Identification of Human Motion Signature using Airborne Rada...

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25th SPIE conference on signal and data processing of small targets

作者： McDonald, Michael Damini, Anthony Def R&D Canada Ottawa ON Canada

ISBN: (纸本)9780819497079

data containing the radar signature of amoving person on the ground were collected at ranges of up to 30 km from a moving airborne platform using the DRDC Ottawa X-band Wideband Experimental Airborne Radar (XWEAR). the human target radar echo returns were found to possess a characteristic amplitude modulated (AM) and frequency modulated (FM) signature which could be usefully characterized in terms of conventional AM and FM modulation parameters. Human detection performance after space time adaptive processing is frequently limited by false alarms arising from incomplete cancellation of large radar cross-section discretes during the whitening step. However, the clutter discretes possess different modulation characteristics from the human targets discussed above. the ability of pattern classification techniques to use this parameter measurement space to distinguish between human targets and clutter discretes is explored and preliminary results presented.

关键词： STAP Radar GMTI

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data association hypothesis evaluation for i.i.d. but non-Poisson multiple target tracking

Data association hypothesis evaluation for i.i.d. but non-Po...

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16th conference on signal and data processing of small targets

作者： Mori, S Chong, CY ALPHATECH Inc Mountain View CA 94040 USA

ISBN: (纸本)081945351X

this paper discusses the evaluation of data association hypotheses for a general class of multiple target tracking problems. We assume that the number of targets is unknown, and that given the number of targets, the joint target state distributions form a system of independent, identically distributed (i.i.d.) probability distributions. We are particularly interested in the case where the prior probability distribution of the number of targets is not necessarily Poisson. We will show that the Poisson assumption is not only sufficient but also necessary for the commonly used standard multiplicative hypothesis evaluation formula. Consequently, we claim that the use of the standard multiplicative hypothesis evaluation formula implies, either explicitly or implicitly, the Poisson assumption. We will also examine the Poisson assumption on the number of false alarms in each measurement set.

关键词： multiple target tracking data association hypothesis evaluation IID cluster non-Poisson point process

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Tracking ground vehicles on a grid

Tracking ground vehicles on a grid

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16th conference on signal and data processing of small targets

作者： Sworder, DD Boyd, JE Univ Calif San Diego Dept Elect & Comp Engn La Jolla CA 92093 USA

ISBN: (纸本)081945351X

Hybrid models have proven useful for tracking targets with multiple motion modes. Most emphasis in the literature has been devoted to aircraft which transition from constant velocity motion to constant (or nearly constant) turns and back. Ground targets motions have received less attention despite similarities with aircraft. this paper presents a study of the ground-tracking problem using the Gaussian wavelet estimator as the basic algorithm. the sensor suite contains a matrix of range-bearing sensors of quality that is strongly range dependent. there also may be an acoustic sensor which provides an auxiliary speed measurement. It is shown that the high degree of partitioning of the kinematic state space provided by the algorithm is useful in this application.

关键词： nonlinear filters target tracking data fusion

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Multi-radar system database integration using metrized small world technology

Multi-radar system database integration using metrized small...

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作者： Ponomarev, Dmitry Krylov, Vladimir Pankratov, Yuri MeraLabs LLC Nizhny Novgorod Russia

ISBN: (纸本)9781424459148

the present article describes the possibility of integrating the data from several radars with shared radiolocation areas in order to acquire precise information about the targets by means of analyzing the events in neighboring spatiotemporal resolution elements. the paper suggests an algorithm for integrating the data based on creating the graph which possesses the characteristics of the "Metrized small World". A possibility of processing the integrated data in real time is analyzed. the article describes efficient metrics for integrating multi-radar data into a single Metrized small World graph. Examples of such algorithms are given.

关键词： data fusion

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Detection of unusual trajectories using multi-objective evolutionary algorithms and rough sets

Detection of unusual trajectories using multi-objective evol...

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25th SPIE conference on signal and data processing of small targets

作者： Smolinski, Tomasz G. Newell, Trevor McDaniel, Samantha Pokrajac, David Delaware State Univ Dept Comp & Informat Sci Dover DE 19901 USA

ISBN: (纸本)9780819497079

Detection of unusual trajectories of moving objects (e.g., people, automobiles, etc.) is an important problem in many civilian and military surveillance applications. In this work, we propose a multi-objective evolutionary algorithms and rough sets-based approach that breaks down 2-dimensional trajectories into a set of additive components, which then can be used to build a classifier capable of recognizing typical, but yet unseen trajectories, and identifying those that seem suspicious.

关键词： Detection of Unusual Trajectories data Mining Evolutionary Algorithms Rough Sets

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Hybrid radar signal fusion for unresolved target detection

Hybrid radar signal fusion for unresolved target detection

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19th conference on signal and data processing of small targets

作者： Nandakumaran, N. Sinha, A. Kirubarajan, T. McMaster Univ Dept Elect & Comp Engn ETF Lab Hamilton ON Canada

ISBN: (纸本)9780819468475

Radar systems have good radial resolution, but they have poor angular resolution that results in unresolved measurements. this problem can be mitigated by utilizing the spatial diversity of multistatic radar system. In this paper, the detection of unresolved targets with a hybrid radar system using signal level fusion is considered. the system consists of two receivers: one is co-located with the transmitter and the other is located far from the transmitter. the area of interest, where the transmitter is focused on, is divided into grids, which are formed by circular range bins of the monostatic receiver and elliptical range bins of the bistatic receiver. Assuming these grids are good enough to resolve the targets (i.e., each grid has at most one target and vice versa), the amplitudes of the targets (corresponding to all grids) that maximize the likelihoods of the signals obtained from both receivers are determined. these optimum values are then compared against a threshold for the final decision. Simulation studies are performed to demonstrate the proposed algorithm for hybrid radar system with unresolved targets. the simulation results confirm the enhancement in detection of unresolved targets by fusing coherently received signals from both monostatic and bistatic receivers.

关键词： unresolved targets closely-spaced targets hybrid radar bistatic radar signal fusion

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small object hyperspectral detection from a low-flying UAV

Small object hyperspectral detection from a low-flying UAV

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20th conference on signal and data processing of small targets

作者： Murray-Krezan, J. Neumann, J. G. Leathers, R. A. USN Res Lab Washington DC 20375 USA

ISBN: (纸本)9780819471604

small object detection with a low false alarm rate remains a challenge for automated hyperspectral detection algorithms when the background environment is cluttered. In order to approach this problem we are developing a compact hyperspectral sensor that can be fielded from a small unmanned airborne platform. this platform is capable of flying low and slow, facilitating the collection of hyperspectral imagery that has a small ground-sample distance (GSD) and small atmospheric distortion. Using high-resolution hyperspectral imagery we simulate various ranges between the sensor and the objects of interest. this numerical study aids in analysis of the effects of stand-off distance on detection versus false alarm rates when using standard hyperspectral detection algorithms. Preliminary experimental evidence supports our simulation results.

关键词： hyperspectral HSI GSD small object detection

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