A demonstration of adaptive weather surveillance and multifunction capabilities on the National Weather Radar Testbed Phased Array Radar

Torres, Sebastián; Adams, Ric; Curtis, Christopher D.; Forren, Eddie; Forsyth, Douglas E.; Ivić, Igor R.; Priegnitz, David; Thompson, John R.; Warde, David A.

doi:10.1109/radar.2014.7060420

Cited by 10 publications

(3 citation statements)

References 5 publications

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“…In the past, several works have explored various approaches for beam synthesis, waveform computation or optimization of the radar scan pattern (for a pencil-beam lattice over the surveillance space [13], adaptive activation strategies on a predesigned radar scan pattern [11]). Those approaches however do not fully use active radars capabilities to dynamically perform beam-forming and are not integrated in a more global framework.…”

Section: A Challenges and Proposed Approachementioning

confidence: 99%

AI-Augmented Multi Function Radar Engineering with Digital Twin: Towards Proactivity

Klein

Carpentier

Jeanclaude

et al. 2020

2020 IEEE Radar Conference (RadarConf20)

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Thales new generation digital multi-missions radars, fully-digital and software-defined, like the Sea Fire and Ground Fire radars, benefit from a considerable increase of accessible degrees of freedoms to optimally design their operational modes. To effectively leverage these design choices and turn them into operational capabilities, it is necessary to develop new engineering tools, using artificial intelligence. Innovative optimization algorithms in the discrete and continuous domains, coupled with a radar Digital Twins, allowed construction of a generic tool for "search" mode design (beam synthesis, waveform and volume grid) compliant with the available radar time budget. The high computation speeds of these algorithms suggest tool application in a "Proactive Radar" configuration, which would dynamically propose to the operator, operational modes better adapted to environment, threats and the equipment failure conditions.

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Section: A Challenges and Proposed Approachementioning

confidence: 99%

AI-Augmented Multi Function Radar Engineering with Digital Twin: Towards Proactivity

Klein

Carpentier

Jeanclaude

et al. 2020

2020 IEEE Radar Conference (RadarConf20)

View full text Add to dashboard Cite

show abstract

“…In the past, several works have explored various approaches for optimisation of the radar search pattern: the authors in [8, 9] optimised scanning by tiling identical pencil‐beams over the surveillance space, Torres et al [10] developed adaptive activation strategies on a pre‐designed radar search pattern. Those approaches, however, do not fully use active radars capabilities to dynamically perform beam‐forming.…”

Section: Introductionmentioning

confidence: 99%

Optimisation of radar search patterns in localised clutter and terrain masking under direction‐specific scan update rates constraints

Briheche

Barbaresco

Bennis

et al. 2018

IET Radar, Sonar & Navigation

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Cognitive radars are systems capable of optimizing emission and processing by exploiting knowledge about environment and operational scenario. Those improvements are achieved by controlling new degrees of freedom offered by modern radar technology. In particular, active phased-array radars can perform bidimensional beam-steering and beam-forming. Those new capabilities allow adaptation of radar search patterns to localized constraints. We present an improvement from our previous set cover approximation for radar search pattern time-budget minimization, accounting for localized constraints of terrain masking and direction-specific scan update rates. The addition of those constraints however does not modify the underlying mathematical structure of the problem, which can be solved using integer programming methods.

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“…However, a low‐cost and fast electronic beam scanning antenna is ideally desirable. As an example, it has been clearly established that using electronically steerable phased array radars for weather forecasting can make a significant difference in the warning decision process due to increased data acquisition arising with fast and adaptive scanning antennas [7]. Beam scanning with mechanically rotated reflector antennas has the advantage of being low‐cost compared with electronic scanning, but it offers lower‐speed beam control, which can be a limiting factor when fast target tracking is required.…”

Section: Introductionmentioning

confidence: 99%

Radar system with enhanced angular resolution based on a novel frequency scanning reflector antenna

Siaka¹,

Tehrani²,

Laurin³

et al. 2017

IET Radar, Sonar & Navigation

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A demonstration of adaptive weather surveillance and multifunction capabilities on the National Weather Radar Testbed Phased Array Radar

Cited by 10 publications

References 5 publications

AI-Augmented Multi Function Radar Engineering with Digital Twin: Towards Proactivity

AI-Augmented Multi Function Radar Engineering with Digital Twin: Towards Proactivity

Optimisation of radar search patterns in localised clutter and terrain masking under direction‐specific scan update rates constraints

Radar system with enhanced angular resolution based on a novel frequency scanning reflector antenna

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