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Scalable GMTI tracker

Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997), 2003
This paper describes the design and preliminary implementation of a scalable multiple hypothesis tracker on a distributed memory multiprocessor computer. The throughput requirements of the tracker strongly depend on the desired performance and can amount to several giga floating point operations per second.
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Waveforms for simultaneous SAR and GMTI

2012 IEEE Radar Conference, 2012
In this paper we discuss the frequency-jump burst (FJB) waveform as a candidate for performing joint synthetic aperture radar (SAR) imaging and ground moving target indication (GMTI). We introduce the signal model for simulating SAR data and the method for image formation.
V. Murthy, U. Pillai, M. E. Davis
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The GMTI idea

2018
Ground or surface moving target detection (often called ground moving target indication or GMTI) consists of radar or EO detection of humans or tactical vehicles moving on or near the earth's surface. Animals and humans have little difficulty detecting movement and sorting unimportant movements from an important movement at short range.
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Advanced SAR GMTI techniques

Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509), 2004
Synthetic aperture radar (SAR) systems are designed to produce high quality imagery of a stationary target on the ground. These systems are not designed to handle moving targets and perform poorly in the areas of detecting and imaging moving targets.
R. Lipps, V. Chen, M. Bottoms
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Joint Communications and MIMO GMTI Radar Processing

2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
This study develops a signal processing chain for a joint communications and multiple-input multiple-output (MIMO) ground moving target indicator (GMTI) radar receiver. Communications signals and radar returns are simultaneously received within the same spectrum.
Owen Ma   +2 more
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GMTI tracking using signal strength information

2010 13th International Conference on Information Fusion, 2010
Signal strength information is a standard output of a modern radar system. Provided the amplitude of the target returns exceeds the false alarm background, the consideration of signal strength may lead to improved target estimates, depending on the scenario. In this paper a Bayesian tracking algorithm is presented which incorporates the signal strength
Michael Mertens, Martin Ulmke
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Multiple Ground Target Tracking with a GMTI Sensor

2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2006
For current GMTI trackers, one of the most common contextual information used is road network information. In this paper, we present our approach to using the road network information in tracking ground targets and in solving some ambiguities that can arise at road intersections or following a target manoeuvre of leaving the road.
Benjamin Pannetier   +2 more
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Airborne MIMO GMTI Radar

2011
Abstract : The performance of a ground moving target indicator (GMTI) radar is strongly driven by the length of the radar aperture, as longer apertures enable lower minimum detectable velocity (MDV) and better target geolocation. Multiple-input multiple-output (MIMO) techniques can enable the use of long sparse array geometries while avoiding the ...
S. K. Davis, J. M. Kantor
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GMTI in Circular Sar Data Using STAP

2016 Sensor Signal Processing for Defence (SSPD), 2016
This paper presents method and results of a Ground Moving Target Indication (GMTI) experiment using multichannel Synthetic Aperture Radar (M-SAR) data collected by the four channel F-SAR system. The proposed approach is based on sub-aperture processing, Space-Time Adaptive Processing (STAP), constant false alarm rate (CFAR) thresholding and geocoding ...
Casalini, Emiliano   +2 more
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A block-sparse reconstruction method for SAR GMTI

2017 4th International Conference on Systems and Informatics (ICSAI), 2017
This paper proposes a synthetic aperture radar (SAR) imaging method based on block sparse reconstruction for ground moving target identification (GMTI). Since the targets are sparse or compressible in the area of interest, it is sufficient to reconstruct the image by only sampling a small number of receiving data randomly.
YingBin Long, Gangyao Kuang
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