Automatic Target Recognition for Passive Radar

Pisane, Jonathan; Azarian, Sylvain; Lesturgie, Marc; Verly, Jacques

doi:10.1109/taes.2013.120486

Cited by 23 publications

(14 citation statements)

References 20 publications

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“…Moreover, PSNR TH is a threshold of the target PSNR value. 4 The current macroblock is encoded by using the SKIP mode, and the corresponding PSNR value is measured subsequently. Then, if the PSNR value is smaller than PSNR TH , the encoding mode number is increased and selected appropriately through iterative processing.…”

Section: A Dwt For Electro-optical Video Codingmentioning

confidence: 99%

“…To achieve a successful transition to NCW, it is necessary to resolve several issues, such as early detection, target recognition, exact classification of opponents, and speedy information processing [4,5]. Such sophisticated technologies seek to maximize the operability and survivability of warships by utilizing limited resources more efficiently [6,7,8].…”

Section: Introductionmentioning

confidence: 99%

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Real-time video traffic management for a warship combat system

Kim

Lee

2015

IEEE Trans. Aerosp. Electron. Syst.

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In an effort to improve the channel utilization of a warship combat system (WCS), it is necessary to control and manage the large volume of video traffic by considering a strong self-similarity characteristic. We propose a new video traffic management method for the WCS that smooths the traffic of the closed-circuit television surveillance system (CSS) video and encodes the electro-optical tracking system (EOTS) video with low complexity in real time. First, to achieve global and local traffic smoothing for the CSS video traffic, a proper bandwidth allocation interval and a minimum bandwidth for the CSS video traffic must be determined. Second, due to the increased available bandwidth after traffic smoothing, more elaborate low-delay encoding is accomplished by selecting encoding modes adaptively to compress the EOTS video efficiently with high visual quality. The experimental results demonstrate that the proposed method is able to control the WCS traffic to be as flat as possible and to encode the EOTS video with low delay, even in combat and emergency scenarios. Hence, we show that to migrate to network-centric warfare successfully, the proposed method is much more suitable for the WCS than conventional video traffic management.

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Section: A Dwt For Electro-optical Video Codingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Real-time video traffic management for a warship combat system

Kim

Lee

2015

IEEE Trans. Aerosp. Electron. Syst.

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“…Passive radar technology has been applied to target detection and imaging [2], [7] and for target classification [10], [11], [12] using signal or image processing approaches. Our goal is to extract targets and features from 2D passive ISAR images originating from a multistatic passive radar measurement system that can be used for image-based classification.…”

Section: Introductionmentioning

confidence: 99%

Automatic target classification in passive ISAR range-crossrange images

Manno-Kovacs

Giusti

Berizzi

et al. 2018

2018 IEEE Radar Conference (RadarConf18)

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Abstract-This paper presents a method for automatic analysis of passive radar 2D ISAR images to evaluate the possibilities and capabilities of image feature based target extraction and classification. The goal is to extend signal processing based detection and recognition methods with image information. The presented method is fast, easily embeddable and extendable, works near real-time, and we show its viability for classification using real passive 2D ISAR images.

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“…Passive radar, also known as passive coherent location radar, exploits the third-party radio sources as illuminators of opportunity to detect reflections from targets of interest [1][2][3][4][5]. By performing a two-dimensional (2-D) cross correlation (i.e.…”

Section: Introductionmentioning

confidence: 99%

Noncooperative registration for multistatic passive radars

Wan

Leung

et al. 2016

IEEE Trans. Aerosp. Electron. Syst.

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Multistatic passive radars localize targets by using multiple bistatic range measurements. Multistatic localization requires all range measurements to be unbiased. It is proved by real data processing that registration is an important topic to be addressed. Traditionally, atomic clocks or GPS are used to achieve unbiased measurements. However, these approaches are unattainable under the case of multistatic passive radars as the transmitters of opportunity are beyond control. This paper proposes a novel registration method using noncooperative targets. The global convergence and accuracy of the proposed algorithm are obtained analytically. Computer simulations and experimental data are used to verify that the proposed algorithm possesses a good global convergence behavior and the performance can approach the Cramér-Rao bound (CRB).

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Automatic Target Recognition for Passive Radar

Cited by 23 publications

References 20 publications

Real-time video traffic management for a warship combat system

Real-time video traffic management for a warship combat system

Automatic target classification in passive ISAR range-crossrange images

Noncooperative registration for multistatic passive radars

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