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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81-90 订阅

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Hybrid tracking algorithm using MHT and PMHT

Hybrid tracking algorithm using MHT and PMHT

引用

14th conference on signal and data processing of small targets

作者： Dunham, DT Hutchins, RG Independent Contractor (United States) Naval Postgraduate School (United States)

ISBN: (纸本)0819444782

Since the early 1990s, significant research has been done on a relatively new algorithm called the Probabilistic MultiHypothesis Tracker (PMHT). the majority of this research has concluded that there are a few weaknesses with this approach to tracking targets in the presence of clutter. First, the number of targets that are being tracked needs to be known a priori. Second, in order for the algorithm to operate properly, a very good initiation must be performed. Without a very close initiation, the PMHT usually fails to "lock on" to the target correctly. To address both of these issues, a hybrid approach is proposed. this hybrid approach will use a Multi-Hypothesis Tracking (MHT) algorithm to initiate new tracks and to continue tracking them until a track is stable. then it will hand these tracks off to the PMHT to maintain. the MHT is very good at initiating new tracks, and the PMHT is best at maintaining multiple tracks because the algorithm's complexity with tracking additional targets grows linearly as opposed to exponentially'.

关键词： multiple targets hybrid PMHT MHT initialization

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Probability-of-detect-based beam pointing for multitarget tracking with electronically scanned radars

Probability-of-detect-based beam pointing for multitarget tr...

引用

14th conference on signal and data processing of small targets

作者： Register, A Brown, G Blair, WD Georgia Tech Research Institute (United States)

ISBN: (纸本)0819444782

Since the time and energy of phased array radars are under great demand in modem combat systems, methods that conserve those resources are very important. Two opportunities for conserving radar resources that have not been fully exploited when tracking closely-spaced objects with currently deployed systems are revisit time selection (i.e., time to make a measurement) and beam boresight placement. While these two functions are somewhat coupled, this paper addresses only the problem of beam pointing. Previously, a methodology for track management for phased array radars hinged on the concept of organizing tracks into, so called, dwell groups that included closely-spaced targets that could be illuminated with a single beam. Pointing angle for a dwell group was determined using a geometry-based approach. While the geometry-based approach was useful in improving the entire track management function, it was known to be sub-optimal in that the detection characteristics of the targets were not considered. this paper addresses an improved methodology for assigning membership in dwell groups and selecting dwell pointing angles.

关键词： multitarget tracking phased array radar signal processing beam pointing

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Concurrent MAP data association and absolute bias estimation with an arbitrary number of sensors

Concurrent MAP data association and absolute bias estimation...

引用

20th conference on signal and data processing of small targets

作者： Kragel, Bret D. Danford, Scott Poore, Aubrey B. Numerica Corp Loveland CO USA

ISBN: (纸本)9780819471604

Bias estimation using objects with unknown data association requires concurrent estimation of both biases and optimal data association. this report derives maximum a posteriori (MAP) data association likelihood ratios for concurrent bias estimation and data association based on sensor-level track state estimates and their joint error covariance. Our approach is unique for two reasons. First, we include a bias prior that allows estimation of absolute sensor biases, rather than just relative biases. Second, we allow concurrent bias estimation and association for an arbitrary number of sensors. the two-sensor likelihood ratio is derived as a special case of the general M-sensor result.

关键词： multiple target tracking MAP bias estimation data association assignment problems track-to-track association

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Recognition and Classification of Rotorcraft by Micro-Doppler Signatures Using Deep Learning 18th

Recognition and Classification of Rotorcraft by Micro-Dopple...

引用

18th International conference on Computational Science (ICCS)

作者： Liu, Ying Liu, Jinyi Univ Chinese Acad Sci Sch Comp & Control Beijing 100190 Peoples R China Chinese Acad Sci Key Lab Big Data Min & Knowledge Management Beijing 100190 Peoples R China

ISBN: (纸本)9783319936987;9783319936970

Detection and classification of rotorcraft targets are of great significance not only in civil fields but also in defense. However, up to now, it is still difficult for the traditional radar signal processing methods to detect and distinguish rotorcraft targets from various types of moving objects. Moreover, it is even more challenging to classify different types of helicopters. As the development of high-precision radar, classification of moving targets by micro-Doppler features has become a promising research topic in the modern signal processing field. In this paper, we propose to use the deep convolutional neural networks (DCNNs) in rotorcraft detection and helicopter classification based on Doppler radar signals. We apply DCNN directly to raw micro-Doppler spectrograms for rotorcraft detection and classification. the proposed DCNNs can learn the features automatically from the micro-Doppler signals without introducing any domain background knowledge. Simulated data are used in the experiments. the experimental results show that the proposed DCNNs achieve superior accuracy in rotorcraft detection and superior accuracy in helicopter classification, outperforming the traditional radar signal processing methods.

关键词： Convolutional neural network Deep learning Target detection Classification Micro-Doppler

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Efficiently identifying close track/observation pairs in continuous timed data

Efficiently identifying close track/observation pairs in con...

引用

17th conference on signal and data processing of small targets

作者： Kubica, J Moore, A Connolly, A Jedicke, R Carnegie Mellon Univ Inst Robot Pittsburgh PA 15213 USA

ISBN: (纸本)0819459186

In this paper we examine new data structures and algorithms for efficient and accurate gating and identification of potential track/observation associations. Specifically, we focus on the problem of continuous timed data, where observations arrive over a range of time and each observation may have a unique time stamp. For example, the data may be a continuous stream of observations or consist of many small observed subregions. this contrasts with previous work in accelerating this task, which largely assumes that observations can be treated as arriving in batches at discrete time steps. We show that it is possible to adapt established techniques to this modified task and introduce a novel data structure for tractably dealing with very large sets of tracks. Empirically we show that these data structures provide a significant benefit in both decreased computational cost and increased accuracy when contrasted with treating the observations as if they occurred at discrete time steps.

关键词： data association algorithms data structures

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Hybrid radar signal fusion for unresolved target detection

Hybrid radar signal fusion for unresolved target detection

引用

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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the Network Centric Warfare Paradigm: the primacy of estimation, tracking and data fusion algorithms for implementation of this vision

The Network Centric Warfare Paradigm: The primacy of estimat...

引用

14th conference on signal and data processing of small targets

作者： Gray, JE Smith-Carroll, AS McCabe, DH Murray, WJ Alouani, AT USN Ctr Surface Warfare Dahlgren Div Syst Res & Technol Dept Dahlgren VA 22448 USA

ISBN: (纸本)0819444782

What underpins this vision as axiomatic is the mantra "Information is power". Besides the necessary requirement of information exchange networks with sufficient bandwidth and computational power to treat the data being passed around the network;, algorithms are required to make sense of the data. It is estimation algorithms that turn the straw (data) into gold (information). Both proper execution and improvements in estimation algorithms are the enabling technology that facilitates the formation and usage of data across the envisioned warfare networks. We focus on some of the requirements that are driving the formation of these networks from a surface navy perspective in terms of estimation. We also discuss how these requirements focus the design of potentially new algorithms. We also discuss some of the crucial issues that may drive future requirements and algorithms.

关键词： Military operations

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Unresolved target detection - Detailed case study of a particular technique assuming correct calibration

Unresolved target detection - Detailed case study of a parti...

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14th conference on signal and data processing of small targets

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

ISBN: (纸本)0819444782

A particular method of detecting unresolved targets using simulated monopulse radar data is examined in detail. the system is assumed to be correctly calibrated i.e. the decision boundary is calculated based on the true values governing the hypothesis that only a single target is present in the range cell. the system performance is analyzed under varying values for target ranges, angles between the beam pointing direction and the actual off-boresight angle of the targets, waveform power and number of pulses. It is shown that these parameters have a pronounced impact on the Boundary, Metric and Decision Surfaces. the False Alarm probability for a single target as a function of waveform power is considered, as also are the detection probabilities when two targets are present. the important issue of locating the decision point on the Boundary Surface is briefly discussed.

关键词： unresolved targets radar cross-section Neyman Pearson hypothesis testing detection probability

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Robust method for detecting an infrared small moving target based on the facet-based model

Robust method for detecting an infrared small moving target ...

引用

20th conference on signal and data processing of small targets

作者： Lee, Hwal-Suk Kim, Seokkwon Park, Dong-Jo Kim, Jieun Park, Changhan Korea Adv Inst Sci & Technol Sch EECS 373-1 Guseong Dong Taejon 305701 South Korea Agcy Def Dev Taejon South Korea SAMSUNG THALES Co Ltd Adv Technol R&D Ctr Yongin 446712 Gyeonggi South Korea

ISBN: (纸本)9780819471604

In this paper, a new condition for the target is proposed to increase the robustness of the facet-based detection method for zero-mean Gaussian noise. In the proposed algorithm, the pixels detected from the maximum extremum condition are checked further to discern if they are false maximum points in the proposed scheme. the experimental results show that the proposed algorithm is much more robust for zero-mean Gaussian noise than the conventional detection method.

关键词： infrared image small target detection cubic facet model Gaussian noise

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Aspect aware UAV localization

Aspect aware UAV localization

引用

20th conference on signal and data processing of small targets

作者： Berger, Christian R. Zhou, Shengli Willett, Peter Univ Connecticut Dept Elect & Comp Engn Storrs CT 06269 USA

ISBN: (纸本)9780819471604

We consider target detection and tracking of stealthy targets. these targets can be characterized by a, strong aspect dependence leading to difficult detectability without a multi-static setup. Even in a multi-static setup only sensors in a, certain zone can detect the return signal, if the the aspect dependent return has a small bandwidth. We propose a solution based on a large number of simple sensor, as using many receivers increases the probability of detection. the sensors are simple in the sense that they only transmit binary detection results to a fusion center that has comparatively deep capabilities, and they do not need to know their own position or communicate with other sensors. We characterize the target position estimation performance using the Cramer-Rao bound and simulation results, considering uncertainty in nuisance parameters as the sensor positions or the specifics of the aspect dependence. We suggest a data collection protocol that includes locating sensors that detect the target and has low communication complexity. As a, novelty we also include information about "non-localized" sensors, as sensors which do not detect the target stay quiet to save bandwidth and energy, therefore are not known to the fusion center except via knowledge of the deployed sensor density and deployment region.

关键词： Sensors Target detection signal detection Binary data Unmanned aerial vehicles Receivers Fusion energy signal to noise ratio Error analysis data communications

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