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Proceedings ArticleDOI

A Net Track Solution to Pose-Angular Tracking of Maneuvering Targets in Clutter with HRR Radar

TLDR
The range profiles of high range resolution (HRR) radar are used for pose angular estimation of maneuvering targets in clutter and a pose-sensitive classifier provides matching scores that are converted into likelihoods and updated over time in a probabilistic manner.
Abstract
Maintaining track continuity is a challenging task for large area persistent surveillance with high target density, rapid target maneuvering, and low target-to-clutter ratio When the sensor revisit interval is long, measurement-to-track association becomes rather difficult Although maneuvering targets can be discriminated via Doppler processing, clutter still masks moving targets at certain aspect angles This creates a blind zone for GMTI (ground moving target indicator) radar, which may extend as large as 25% of the azimuth angles For high-value targets that may undergo evasive maneuvers, a net track solution coordinating multiple looks from a netted set of sensors is set forth in this paper to ensure continuous monitoring Target visibility therefore needs to be factored into netted radar platform coordination and sensor systems management For ground targets, their heading is mostly aligned with the longitudinal axis The target pose thus carries kinematic information about the direction of velocity vector that can be used to assist tracking of maneuvering targets In this paper, the range profiles of high range resolution (HRR) radar are used for pose angular estimation of maneuvering targets in clutter A pose-sensitive classifier provides matching scores that are converted into likelihoods and updated over time in a probabilistic manner Pose angular tracking from individual sensors in the network is fused to cover the blind zone encountered by individual sensors A software simulation environment that produces range profiles based on the RF signatures of moving targets is used in the study Simulation results for pose angular tracking in clutter are presented to illustrate the net track solution concept and its performance

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Posted Content

Decision-Level Fusion Performance Improvement From Enhanced HRR Radar Clutter Suppression

Bart Kahler, +1 more
- 01 Dec 2014 - 
TL;DR: This paper exploits extra feature information from enhanced clutter suppression for Automatic Target Recognition (ATR), presents a Decision-Level Fusion (DLF) gain comparison using Displaced Phase Center Antenna (DPCA) and MSS clutter suppressed HRR data, and develops a confusion-matrix identity fusion result for Simultaneous Tracking and Identification (STID).
Journal ArticleDOI

Decision-Level Fusion Performance Improvement From Enhanced HRR Radar Clutter Suppression

TL;DR: In this article, the authors exploit extra feature information from enhanced clutter suppression for Automatic Target Recognition (ATR), and present a decision-level fusion (DLF) gain comparison using Displaced Phase Center Antenna (DPCA) and MSS clutter suppressed HRR data.
Proceedings ArticleDOI

Review of recent advances in AI/ML using the MSTAR data

TL;DR: The paper reviews many of the available techniques recently published to determine the state of the art in emerging concepts for SAR ATR and discerns the most promising approaches.
Proceedings Article

Distributed tracking fidelity-metric performance analysis using confusion matrices

TL;DR: A fidelity metric of track purity assessment using confusion matrix (CM) fusion is developed and demonstrated in a distributed multisensor multitarget scenario from two platforms.
Proceedings ArticleDOI

Estimating target range-Doppler image slope for maneuver indication

TL;DR: The use of the HMTI method for maneuvering target tracking is discussed with performance metrics of timeliness, tracking sensitivity, and track accuracy as well as target identity confidence when HRR range profiles are also used for identification.
References
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Book

High Resolution Radar

TL;DR: In this paper, the authors apply the radar range equation to high-resolution radar high resolution radar design high range resolution waveforms and processing synthetic high-range resolution radar synthetic aperture radar inverse synthetic aperture Radar (ISAR) three dimensional imaging with monopulse radar target imaging with non-coherent radar systems applications for surveillance.
Journal ArticleDOI

Identification of ground targets from sequential high-range-resolution radar signatures

TL;DR: An approach to identifying targets from sequential high-range-resolution (HRR) radar signatures is presented, and a hidden Markov model (HMM) is employed to characterize the sequential information contained in multiaspect HRR target signatures.
Journal ArticleDOI

Robust statistical feature based aircraft identification

TL;DR: Results are presented demonstrating that the StaF classifier can significantly reduce errors associated with unknown targets while maintaining a high probability of correct classification.
Journal ArticleDOI

Image-enhanced tracking

TL;DR: In this article, a model is presented for the image-based observation link, along with the equations used to convert a sequence of image processor outputs into an estimate of target status.
Proceedings ArticleDOI

Automatic target recognition of time critical moving targets using 1D high range resolution (HRR) radar

TL;DR: In this paper, a subset of the moving and stationary target acquisition and recognition (MSTAR) data set was used to study 1D template-based ATR development and performance.