检索结果-内蒙古大学图书馆

1999年

作者： Oliver E Drummond

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NNJPDA for tracking closely-spaced Rayleigh targets with possibly merged measurements

NNJPDA for tracking closely-spaced Rayleigh targets with pos...

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conference on signal and data processing of small targets 1999

作者： Blair, WD Brandt-Pearce, M Georgia Inst Technol Georgia Tech Res Inst Atlanta GA 30332 USA

ISBN: (纸本)0819432954

The measurements of the two closely-spaced targets will be merged when the target echoes are not resolved in angle, range, or radial velocity (i.e., Doppler processing). The modified Cramer Rao lower bound (CRLB) is given for monopulse direction-of-arrival (DOA) estimation for two unresolved Rayleigh targets and used to give insight into the antenna boresight pointing. A monopulse processing technique is given for DOA estimation of two unresolved Rayleigh targets. The Nearest Neighbor Joint Probabilistic data Association Algorithm (NNJPDA) algorithm is extended to include the possibility of merged monopulse measurements of Rayleigh targets. The monopulse signals are incorporated into the data association as a feature to discriminate between merged and resolved measurements.

关键词： unresolved objects target tracking data association radar signal processing

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Sequential Monte Carlo for manoeuvring target tracking in clutter

Sequential Monte Carlo for manoeuvring target tracking in cl...

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conference on signal and data processing of small targets 1999

作者： Gordon, NJ Doucet, A DERA Signal Proc & Imagery Dept Malvern WR14 3PS Worcs England

In this paper we consider the problem of tracking a manoeuvring target in clutter. We apply an original on-line Monte Carlo (MC) filtering algorithm to perform optimal state estimation. Improved performance of the res... 详细信息

ISBN: (纸本)0819432954

关键词： particle filter tracking in clutter manoeuvring target tracking Bayesian methods

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Application of IMM/MHT tracking with spectral features to ground targets

Application of IMM/MHT tracking with spectral features to gr...

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conference on signal and data processing of small targets 1999

作者： Blackman, SS Dempster, RJ Sasaki, DM Singer, PF Tucker, GK Raytheon Systems Co. (United States)

ISBN: (纸本)0819432954

This paper considers the problem of tracking dim unresolved ground targets and helicopters in heavy clutter with a ground based sensor. To detect dim targets the threshold must be set low which results in a large number of false alarms. The tracker typically uses the target dynamics to prevent the false alarms from forming false tracks. The interesting aspect of this problem is that the targets may be or may become stationary. The tracks of stationary targets are difficult to discriminate from tracks formed by persistent false alarms.

关键词： MHT IMM multispectral detection passive ranging

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Detection and acquisition of small targets with low signal-to-clutter ratio

Detection and acquisition of small targets with low signal-t...

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conference on signal and data processing of small targets 1999

作者： Zhu, ZF Liang, HC Pan, AJ Song, B Xu, GX Ni, GQ Beijing Inst Environm Features Beijing 100854 Peoples R China

ISBN: (纸本)0819432954

Of particular interest are efficient algorithms of detection and acquisition of small targets with low signal-to-clutter ratio (SCR) for reality applications. Some algorithms like matched filtering (MF), dynamic programming (DPA) and multistage hypothesis test (MSHT) have been proposed. Although some experiments proved that these algorithms have good target detection performance, it is difficult to implement by hardware because of more computational requirement. In this paper one simple and useful algorithm of the detection and acquisition for small targets with low SCR is presented. input image is preprocessed with using background normalization and background removal, and SCR of targets of difference value image outputted is improved. After image segmentation with an adaptive threshold is finished, the target detection is performed by continuous multi-frame detection method using spatial-temporal continuous motion features of targets. The targets are identified with multistage continuous filtering and a main target selected is acquired and tracked with the window. Experiments proved that the algorithm could detect small targets with SCR equal to 3 in cloud background. The method has been used for infrared tracking system in field and good tracking performance is acquired.

关键词： target detection target acquisition small target background removal

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small extending target precision tracking with dual-infrared imaging sensors

Small extending target precision tracking with dual-infrared...

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conference on signal and data processing of small targets 1999

作者： Liang, HC Ni, GQ Zhu, ZF Xu, GX Pan, AJ Song, B Beijing Inst Technol Dept Optoelect Engn Beijing 100081 Peoples R China

ISBN: (纸本)0819432954

It is a challenging problem to track point source targets and small extending ones in clutter. Only using single-image sensor is usually not adequate to meet the requirement of a multi-target tracking (MTT) system. Carrying out the measurement through two infrared waveband image sensors, and fusing efficiently measurement data of both sensors, we can track small extending targets precisely and improve the performance of the MTT system. In this paper, the multi-target tracking method based on 3 similar to 5 mu m and 8 similar to 12 mu m infrared image sensors is introduced. The mission scenario is thought as tracking air target. The algorithm of the target image centroid estimator is discussed. In order to improve the precision of target tracking, the data fusion algorithm with Kalman filter is described for the target vector feature. The simulation results indicate that the target tracking precision can be improved by tracking small extending targets with dual-infrared image sensors.

关键词： data fusion target tracking Kalman filter small extending target infrared imaging

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Detection and Localization of Multiple Unresolved Extended targets via Monopulse Radar signal processing

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IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 2009年第2期45卷 455-472页

作者： Zhang, Xin Willett, Peter Bar-Shalom, Yaakov United Technol Res Ctr E Hartford CT 06108 USA Univ Connecticut Dept Elect & Comp Engn Storrs CT 06269 USA

When the size of targets is comparable to the range resolution of monopulse radars, these targets should be considered as extended rather than point targets. If several closely-spaced targets fall within the same radar beam and between adjacent matched filter samples in range, the full monopulse information from all of these samples can and should be used to resolve these targets, i.e., estimate the number of targets and their respective angles-of-arrival and ranges. To detect and localize multiple unresolved extended targets, we establish a model for monopulse radar returns from extended objects, and present a maximum likelihood estimator (MLE) to localize the targets. Rissanen's minimum description length (MDL) criterion will be used to decide the number of existing extended objects. We also derive the upper limit on the number of targets and their scattering centers that can be resolved, and we provide necessary conditions for these targets to be uniquely identified. We compare the new extended target monopulse processing scheme with previously developed point-target monopulse techniques in the simulations.

关键词： RADAR ELECTRONIC pulse techniques ELECTRONIC systems signal processing -- Digital techniques MACHINE theory

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Ground-target tracking with dual-image sensor airborne system

Ground-target tracking with dual-image sensor airborne syste...

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conference on signal and data processing of small targets 1999

作者： Liang, HC Ni, GQ Zhu, ZF Xu, GX Yu, YL Song, B Pan, AJ Beijing Inst Technol Dept Optoelect Engn Beijing 1000081 Peoples R China

ISBN: (纸本)0819432954

The ground-target tracking with dual-image sensor is discussed in this paper. The mission scenario is that fighter and helicopter track tactical ground targets such as tank, armored car and articulated vehicle. The airborne system which using a video camera and an 8 similar to 12 mu m infrared imager and processing with parallel DSP can track and identify ground-target in real time. In this paper the sensor platform (aircraft and gimbal) motion parameters are defined, the transformation matrix between the coordinate frames and sensor platform motion compensation algorithm are given. The algorithm of extraction image feature is introduced. According to the SNR of the target measured, two belief regions of target measurement are established I the data fusion algorithm of dual-imaging sensor measurements is given with the voting regulation.

关键词： data fusion target tracking infrared imaging motion compensation

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Detection of small objects using adaptive wavelet-based template matching

Detection of small objects using adaptive wavelet-based temp...

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conference on signal and data processing of small targets 1999

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

ISBN: (纸本)0819432954

Wavelet-based detection algorithms are developed for detecting small targets in non-Gaussian clutter. A wavelet transform is applied to reduce spatial correlation of the clutter. An adaptive matched filter is applied in the wavelet transform domain which uses estimated covariance matrices derived from the wavelet coefficients. Two problems hinder the use of covariance estimates for background clutter removal: slow computational speed and induced false alarms resulting from nearly singular covariance estimates due to small sample sizes. The issue of speed is dealt with by evaluating the covariance matrices on a sparse grid followed by low order interpolation. To control the problem of bad covariance estimates we filter the grid generated covariance matrices to remove outliers using peer group averaging (PGA). This procedure removes the false alarm problem associated with nearly singular covariance estimates without degrading the overall performance of the clutter removal process.

关键词： wavelets matched filtering covariance estimation peer group averaging

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Observability of sensor biases using multiple track reports

Observability of sensor biases using multiple track reports

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conference on signal and data processing of small targets 1999

作者： Easthope, PF Adv Syst Architectures Ltd Alton GU34 4PU Hants England

ISBN: (纸本)0819432954

This paper examines the determination of sensor biases by comparing multiple track outputs from spatially disparate platforms. In many cases, this can be achieved using least-squares methods, minimising the summed-squares of track differences. This method, while simple, is shown to provide valuable information concerning the observability of a given type of bias. Observability is here defined as permitting (in principle) the determination of a unique value for that bias, for each sensor in a pair (to take the simplest case), given sufficient measurement pairs. For the purposes of this study, the types of bias are divided into three main classes: measurement, own-position and alignment. In general, only members of the first group are individually observable, while for the other two classes observable combinations of the individual biases can be derived. The least-squares method also provides an effective method for assessing observability in practice (for example, in certain sensor-track configurations), and in determining which estimated biases are most reliable in such circumstances.

关键词： Sensors Filtering (signal processing) Radar Algorithm development Berkelium Error analysis Matrices Ruthenium Time metrology signal processing

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