Beam Shape Loss and Surveillance Optimization for Pencil Beam Arrays

Hahn, Philipp; Gross, S.

doi:10.1109/taes.1969.309952

Cited by 15 publications

(9 citation statements)

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“…None of the papers start from a radar range equation so that it is difficult to discern the meaning of the calculated losses from a radar design point of view. The hexagonal search pattern was found to be slightly better than the square search pattern [3,4]. The present work shows the hexagonal search to be 0.5 to 1 dB better.…”

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confidence: 49%

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Beam and Filter Straddle Losses in an ESA Search Radar

Galejs¹,

Muehe²

1992

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confidence: 49%

“…There is relatively little literature about beam straddle losses for an ESA [2,3,4]. In Evans, Hahn, and Hank, the loss is correctly found using statistical averaging (probability of detection averaging rather than power averaging) but only four beams are considered when calculating the losses for a volume search.…”

mentioning

confidence: 99%

Beam and Filter Straddle Losses in an ESA Search Radar

Galejs¹,

Muehe²

1992

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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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“…As the beam spacing increases, the total number of the beams decreases. This results in the reduction of a scan time, but the cost is increase of a beamshape loss [2][3][4]. The beamshape loss is introduced because the target is not always at the center of the beam.…”

Section: Introductionmentioning

confidence: 99%

Multiple Step Interlaced Beam Scan to Minimize the Deviation of Radar Detection Performance

Yoon

Park

Roh

et al. 2020

J Electromagn Eng Sci

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For detection of targets, a radar conventionally scans a specified search volume with a fixed beam lattice of a specified beam spacing. With the fixed beam lattice, the detection performance of the radar within a unit beam lattice changes depending on the line-of-sight angle to a target. In this paper, multiple step interlaced scan is proposed to minimize the deviation of the detection performance due to the change of the target line-of-sight angle. As a figure of merit for the detection performance, the cumulative probability of detection is analyzed for various values of the interlaced scan step with different beam overlap ratios, and the optimal values of the steps to minimize the deviation of the cumulative probability of detection are derived.

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Beam Shape Loss and Surveillance Optimization for Pencil Beam Arrays

Cited by 15 publications

References 0 publications

Beam and Filter Straddle Losses in an ESA Search Radar

Beam and Filter Straddle Losses in an ESA Search Radar

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

Multiple Step Interlaced Beam Scan to Minimize the Deviation of Radar Detection Performance

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