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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21-30 订阅

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Exploiting target amplitude information to improve multi-target tracking - art. no. 623618

Exploiting target amplitude information to improve multi-tar...

引用

18th conference on signal and data processing of small targets

作者： Ehrman, Lisa M. Blair, W. Dale Georgia Inst Technol Georgia Tech Res Inst Sensors & Electromagnet Applicat Lab Atlanta GA 30332 USA

ISBN: (纸本)0819462926

Closely-spaced (but resolved) targets pose a challenge for measurement-to-track data association algorithms. Since the Mahalanobis distances between measurements collected on closely-spaced targets and tracks are similar, several elements of the corresponding kinematic measurement-to-track cost matrix are also similar. Lacking any other information on which to base assignments, it is not surprising that data association algorithms make mistakes. One ad hoc approach for mitigating this problem is to multiply the kinematic measurement-to-track likelihoods by amplitude likelihoods. However, this can actually be detrimental to the measurement-to-track association process. With that in mind, this paper pursues a rigorous treatment of the hypothesis probabilities for kinematic measurements and features. three simple scenarios are used to demonstrate the impact of basing data association decisions on these hypothesis probabilities for Rayleigh, fixed-amplitude, and Rician targets. the first scenario assumes that the tracker carries two tracks but only one measurement is collected. this provides insight into more complex scenarios in which there are fewer measurements than tracks. the second scenario includes two measurements and one track. this extends naturally to the case with more measurements than tracks. Two measurements and two tracks are present in the third scenario, which provides insight into the performance of this method when the number of measurements equals the number of tracks. In all cases, basing data association decisions on the hypothesis probabilities leads to good results.

关键词： signal to noise ratio Kinematics Mahalanobis distance Distance measurement Detection and tracking algorithms Radar Target detection Time metrology Antennas Bessel functions

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Track management in a multisensor MHT for targets with aspect-dependent SNR - art. no. 623613

Track management in a multisensor MHT for targets with aspec...

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18th conference on signal and data processing of small targets

作者： Blanding, Wayne R. Willett, Peter K. Bar-Shalom, Yaakov Coraluppi, Stefano Univ Connecticut Dept ECE Storrs CT 06269 USA

ISBN: (纸本)0819462926

In many active sonar tracking applications, targets frequently undergo fading detection performance in which the target's detection probability can shift suddenly from a high to a low value. this characteristic is a function of the undersea environment. Using a multistatic active sonar problem, we examine the performance of track management (initiation and termination) routines where the target detection probability is based on an underlying Hidden Markov Model (HMM) with high and low detection states. Using a likelihood ratio test, we develop the optimum track initiation performance as measured by a System Operating Characteristic, similar to a Receiver Operating Characteristic, which plots the probability of initiating a true track versus the probability of initiating a false track. We show that near-optimal performance can be attained using track initiation logic that differentiates the measurements as to receiver source in an "M detections of N scans from C sensors" type of rule. Performance can further be improved by using a composite track initiation test that combines two or three such rules in a logical OR operation. We next show that the use of a Shiryaev-Roberts test for track termination yields the quickest detection of false tracks for a given duration of true target tracks when compared to a Page test and rule-based tests of the form "M or fewer detections from K scans".

关键词： target tracking multistatic sonar track initiation

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SENSITIVITY TO ERROR OF thE TRUNCATED HILBERT TRANSFORM TECHNIQUE FOR INTERIOR RECONSTRUCTION

SENSITIVITY TO ERROR OF THE TRUNCATED HILBERT TRANSFORM TECH...

引用

18th IEEE International conference on Image processing (ICIP)

作者： Opie, A. M. T. Bones, P. J. Univ Canterbury Dept Elect & Comp Engn Christchurch 1 New Zealand

ISBN: (纸本)9781457713033

Historically, computed tomography reconstructions from truncated projection data have been considered non-unique. However, several recent results suggest that if the density of the object is known on some small region within the region of interest (ROI) then a unique and stable reconstruction of the complete ROI may be possible. Unfortunately, prior knowledge of the exact density of an object being scanned is uncommon, and as such an experimentally determined estimate must be used in its place. this estimate will naturally contain errors. We have performed several reconstruction simulations to establish the sensitivity of the proposed algorithm to errors in the prior knowledge. Our results suggest that the most important element of the prior knowledge is its mean value, while perturbations of the details cause fewer problems in the reconstructed images.

关键词： Computed tomography incomplete data sensitivity to error

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Ultrawideband Inverse Scattering Method for Resonance Region Target Recognition: Application to small-Scale Airplane targets with Measured data 9

Ultrawideband Inverse Scattering Method for Resonance Region...

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9th European conference on Antennas and Propagation EuCAP

作者： Secmen, Mustafa Yasar Univ Dept Elect & Elect Engn Izmir Turkey

ISBN: (纸本)9788890701856

this paper develops an inverse scattering method to determine the characteristics of resonance region targets by using ultrawideband scattering signals. the method mainly uses multiple time-domain signals for each target, and they are processed to give feature vectors in frequency domain. these vectors contain target-specific information related with characteristics (dimensions of substructures, material properties, etc.) of the known targets. the target recognition is employed by using test (unknown) target's scattering signal. this time-domain signal is processed in an inverse way to get a frequency-domain test vector. then, the characteristics of test target are assigned as these of one of the known targets with a basic template-matching approach between test vector and feature vectors of these targets. the method is demonstrated for three realistic small-scale airplane. For an ultrawideband system of 0.7-18 GHz, more than 85 percent accuracy has been obtained even under moderate signal-to-noise (SNR) ratio of about 10 dB.

关键词： ultrawideband inverse scattering radar signal processing resonance region

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Multitarget tracking and monopulse signal processing for spawning targets

Multitarget tracking and monopulse signal processing for spa...

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16th conference on signal and data processing of small targets

作者： Willett, P Blair, WD Ogle, T Univ Connecticut Storrs CT USA

ISBN: (纸本)081945351X

A monopulse radar is able to derive accurate angular measurements via intelligent processing of its sum and difference channel returns. Recently there have emerged techniques for angular estimation of several unresolved targets. meaning targets that are. in principle, merged within the same radar beam, can be extracted separately. the key is the joint exploitation of information in several range bins. Here we show the performance of this approach in a high-fidelity simulation: we observe considerable improvement in track RMSE, but little corresponding, gain in track completeness. Coupled with a hidden Markov model on target number, however, the performance is impressive.

关键词： radar target tracking radar signal processing resolution

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

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

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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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DOA Estimation Based on the Microphone Array for the Time-varying Number of Sound signals 18

DOA Estimation Based on the Microphone Array for the Time-va...

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18th International conference on Information Fusion (Fusion)

作者： Zhu, Hongyan Guo, Kai Lin, Yan Xi An Jiao Tong Univ Sch Elect & Informat Engn MOE KLINNS Lab Inst Integrated Automat Xian 710049 Peoples R China

ISBN: (纸本)9780982443866

In this paper, the problem of estimating the directions of arrival (DOAs) for an unknown number of sound sources is addressed using a microphone array. In outdoor environments, the reverberation is not considered, so the pure delay mixture model is typically adopted here. Since the sound signal is usually wide-band and non-stationary, the Short Time Fourier Transform (STFT) is employed. However in practical applications, the missing or appearing of sources frequently occurs, resulting in a time-varying number of targets. To deal with this problem, a new preprocessing method is presented to partition the whole time domain into some small time windows. In each time window, the sample covariance is computed and used to produce the DOA estimate. Moreover, two methods (Eigenvalue-based and Information theory-based) are used for estimating the number of independent sources. Some selected simulation results are given to demonstrate the estimation performance for the DOAs, and the time accuracy for detecting the change of the number of sources.

关键词： Direction of Arrival (DOA) Number of Independent Sources Short Time Fourier Transform Array signal processing

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New Doppler processing for the Detection of small and Slowly-Moving targets in Highly Ambiguous Radar Context 26

New Doppler Processing for the Detection of Small and Slowly...

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European signal processing conference (EUSIPCO)

作者： Aouchiche, Linda Ferro-Famil, Laurent Adnet, Claude Univ Rennes 1 Rennes France Thales Air Syst Limours France

ISBN: (纸本)9789082797015

this paper presents a novel Doppler processing scheme for pulse Doppler radars operating in at intermediate Pulse Repetition Frequency (PRF) and suffering from range and Doppler ambiguities. One of the main drawbacks of the classical Doppler processing approach concerns the suppression of small and slowly-moving targets when rejecting ground clutter returns. In order to address this problem a two-step Doppler method is proposed in this paper. the first step uses a new iterative algorithm that resolves ambiguities and detects fast (exo-clutter) targets. the detection of slow (endo-clutter) targets is then performed by an adaptive detection scheme that uses a new covariance matrix estimation technique. Pulse trains with different characteristics are then associated for enhanced detection performance.

关键词： Doppler effect Clutter Covariance matrices Training data signal resolution Estimation Doppler radar

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Detection of small IR objects using wavelets, matched subspace detectors, and registration

Detection of small IR objects using wavelets, matched subspa...

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14th conference on signal and data processing of small targets

作者： Hewer, G Kuo, W Kenney, C Hanson, G Bobinchak, J USN Air Warfare Ctr China Lake CA 93555 USA

ISBN: (纸本)0819444782

Infrared sensors and advanced signal processing are used to detect small (or "point") targets in highly cluttered and noisy environments. In this paper, a wavelet detection algorithm and tracking of small targets in clutter will be discussed. A new registration algorithm based on optical flow estimates with matched subspace detectors against small maneuverable targets is also discussed. Both detectors incorporate adaptive constant false alarm rate (CFAR) detection statistics. Simulation of the detection and tracking algorithms using an unclassified database with a helicopter target and platform for the video cameras is summarized.

关键词： wavelets matched subspace detector registration

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small TARGET OF SEA SURFACE DETECTION ALGORIthM RESEARCH BASED ON FEATURE CLASSIFICATION 12

SMALL TARGET OF SEA SURFACE DETECTION ALGORITHM RESEARCH BAS...

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12th IEEE International conference on signal processing (ICSP)

作者： Yu, Lianqing Li, Yun Wang, Ning Jiang, Jin Nanjing Res Inst Elect Technol Nanjing 210039 Jiangsu Peoples R China

ISBN: (纸本)9781479921867

this paper focuses on small target of sea surface detection in sea clutter. Firstly, it analyses the statistic of sea clutter. Secondly, three feature vectors (namely, RAA, RPH and RVE) are extracted, which is utilized to discriminate the sea clutter and targets, and then the time-Doppler curve is used to distinguish the multi-targets in order to finish the small target of sea surface detection. Finally, it analyses the trial data of some radar and shows that this algorithm can effectively distinguish the sea clutter and small target of sea surface. this paper provides a new approach for the ship-borne surveillance radar or marine radar to detect the small target of sea surface and antisubmarine warfare patrol.

关键词： Sea Cluttert Target Detection Feature Detection Feature Classification Time-Doppler Curve

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