Threshold detection in the presence of atmospheric turbulence

Yura, H. T.

doi:10.1364/ao.34.001097

Cited by 4 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lidar return probabilities (LRP N ) for N lidar shots were calculated using the SNR results according to [63], such that…”

Section: Lidar Return Probability and Standard Error Calculationsmentioning

confidence: 99%

Ocean Temperature Profiling Lidar: Analysis of Technology and Potential for Rapid Ocean Observations

Moisan,

Rousseaux,

Stysley

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

Development of ocean measurement technologies can improve monitoring of the global Ocean Heat Content (OHC) and Heat Storage Rate (HSR) that serve as early-warning indices for climate-critical circulation processes such as the Atlantic Meridional Overturning Circulation and provide real-time OHC assessments for tropical cyclone forecast models. This paper examines the potential of remotely measuring ocean temperature profiles using a simulated Brillouin lidar for calculating ocean HSR. A series of data analysis (‘Nature’) and Observational Systems Simulation Experiments (OSSEs) were carried out using 26 years (1992–2017) of daily mean temperature and salinity outputs from the ECCOv4r4 ocean circulation model. The focus of this study is to compare various OSSEs carried out to measure the HSR using a simulated Brillouin lidar against the HSR calculated from the ECCOv4r4 model results. Brillouin lidar simulations are used to predict the probability of detecting a return lidar signal under varying sampling strategies. Correlations were calculated for the difference between sampling strategies. These comparisons ignore the measurement errors inherent in a Brillouin lidar. Brillouin lidar technology and instruments are known to contain numerous, instrument-dependent errors and remain an engineering challenge. A significant decrease in the ability to measuring global ocean HSRs is a consequence of measuring ocean temperature from nadir-pointing instruments that can only take measurements along-track. Other sources of errors include the inability to fully profile ocean regions with deep mixed layers, such as the Southern Ocean and North Atlantic, and ocean regions with high light attenuation levels.

show abstract

“…Lidar return probabilities (LRP N ) for N lidar shots were calculated using the SNR results according to [63], such that…”

Section: Lidar Return Probability and Standard Error Calculationsmentioning

confidence: 99%

Ocean Temperature Profiling Lidar: Analysis of Technology and Potential for Rapid Ocean Observations

Moisan,

Rousseaux,

Stysley

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…is the mutual correlation function of a spherical wave propagating in hypersonic turbulence. ρ′ = r 1 ′ − r 2 ′ and ρ = r 1 − r 2 are located in two planes that are parallel to each other, which can be expressed as follows [24]:…”

Section: Wave Structure Function and Scattering Crosssection In Hypermentioning

confidence: 99%

Electromagnetic scattering characteristics of foil in hypersonic plasma turbulence

Gong

2019

IET Microwaves, Antennas & Propagation

View full text Add to dashboard Cite

To investigate the electromagnetic scattering problem related to a foil in a turbulent hypersonic plasma environment, the scattering field formulas for hypersonic plasma turbulence were improved by applying the anisotropic power spectrum. Using the theory of electromagnetic scattering of a conducting object, the second moment of a conducting object's scattering field is obtained in the hypersonic plasma turbulence. Finally, the backscattering cross‐section of the foil surrounded by the hypersonic plasma turbulence was calculated. The results showed that the fractal dimension led to an increase in the complexity of the hypersonic turbulent structure, and thus had a greater influence on the electromagnetic wave scattering. The scattering cross‐section of the foil in the hypersonic turbulence decreases rapidly. Meanwhile, the anisotropic parameters in the model represent scale‐dependent stretching of the turbulent eddy. As the anisotropic parameters of the turbulence increase, there will be less scattering of the hypersonic turbulence. At this point, the total scattering cross‐section of the foil in hypersonic plasma turbulence increases gradually. By improving the aerodynamic shape of the aircraft, it can produce a large number of anisotropic turbulent eddies which can effectively improve the passive jamming capability when the foil is cast.

show abstract

Image based analysis of atmosphere turbulence effect on the target detection

Kim

Yang

2016

2016 International Conference on Information and Communication Technology Convergence (ICTC)

View full text Add to dashboard Cite

Threshold detection in the presence of atmospheric turbulence

Cited by 4 publications

References 7 publications

Ocean Temperature Profiling Lidar: Analysis of Technology and Potential for Rapid Ocean Observations

Ocean Temperature Profiling Lidar: Analysis of Technology and Potential for Rapid Ocean Observations

Electromagnetic scattering characteristics of foil in hypersonic plasma turbulence

Image based analysis of atmosphere turbulence effect on the target detection

Contact Info

Product

Resources

About