A Computationally Efficient Numerical Simulation for Generating Atmospheric Optical Scintillations

Jurado-Navas, Antonio; Garrido-Balsells, José María; Castillo-Vázquez, Miguel; Puerta-Notario, Antonio

doi:10.5772/25139

Cited by 10 publications

(12 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the parameters of the model can only be identified from measured time series. A feasible method for generating scintillations was proposed in [11] where a Gaussian random number generator with a suitable low-pass filter simulates the fluctuating received optical power. This paper presents a fully parameterized model for a single OOK FSO channel or a pair of correlated channels based on colored random series generator from [11].…”

Section: Introductionmentioning

confidence: 99%

“…A feasible method for generating scintillations was proposed in [11] where a Gaussian random number generator with a suitable low-pass filter simulates the fluctuating received optical power. This paper presents a fully parameterized model for a single OOK FSO channel or a pair of correlated channels based on colored random series generator from [11]. The method is based on the assumption that the packet duration is shorter by orders of magnitude than the channel correlation time.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simulation model of correlated FSO channels

Kolka

Biolková

Wilfert

et al. 2015

2015 Conference on Microwave Techniques (COMITE)

View full text Add to dashboard Cite

The paper deals with a parameterized model for simulation of packet transmission on duplex atmospheric Free-Space Optical (FSO) links. Under certain conditions the optical propagation through atmospheric turbulence is reciprocal, i.e. the power fluctuation in forward and backward channels is highly correlated. The paper deals with a model for generating correlated and colored lognormal time series for time-domain simulation of packet transmission. The probability of occurrence of errors in each packet can be computed analytically based on noise performance of the receiver and one sample of randomly generated received power. The model is demonstrated in a parametric study of performance of FSO terminals whose link layer includes transmitter blocking during deep fades.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulation model of correlated FSO channels

Kolka

Biolková

Wilfert

et al. 2015

2015 Conference on Microwave Techniques (COMITE)

View full text Add to dashboard Cite

show abstract

“…At the same time, depending on formant position, learners will receive information on mouth opening and tongue positioning according to each vowel sound. Consequently, we are making use of authors' previous research on audio signal processing [11], knowledge on communication channels [12], numerical methods [13], analytical modelling [14] and English applied linguistics [15]. This theoretical framework backs up a useful tool for students of English who want to autonomously improve their pronunciation of English vowels.…”

Section: State Of the Artmentioning

confidence: 99%

“…After that, a Hamming window [13,Eq. 56] is applied to the segmented signal so that the extreme samples of the segments had less weight that the central samples.…”

Section: Onset Detection and Temporal Segmentation: Windowingmentioning

confidence: 99%

“…If the number of samples of the last frame is not a power of two, it is required to first zero-pad such a last frame previous to compute the FFT of the sequence [13]. As an interesting remark, for the computation of all N values of a DFT using the definition, the number of arithmetical operations required is approximately N 2 , while the amount of computation is approximately proportional to N log 2 N for the same result to be computed by an FFT algorithm [21].…”

Section: Sliding Window Proceduresmentioning

confidence: 99%

See 1 more Smart Citation

Spectral Study with Automatic Formant Extraction to Improve Non-native Pronunciation of English Vowels

Munoz-Luna¹,

Jurado-Navas²,

Haya³

2014

Computational and Numerical Simulations

View full text Add to dashboard Cite

Development and characterization of a simulation module in the temporal domain for experimental optical atmospheric links affected by optical turbulence with gamma‐gamma probability density function

Mondragón

Santos-Aguilar

López-Leyva

2020

Micro & Optical Tech Letters

View full text Add to dashboard Cite

We present the development and characterization of a simulation module in the temporal domain for optical atmospheric links affected by optical turbulence with Gamma‐Gamma probability density function. We generate time series for different turbulence levels, from weak to strong, to simulate the effect produced by the atmospheric optical channel over an optical carrier with binary‐modulated intensity. We added at the photoreceiver stage a time‐domain amplitude noise from a real‐world component. We carried out performance evaluation of the simulated links through eye pattern diagrams making a qualitative comparison of the waveforms obtained in some of our simulations with waveforms acquired in our long‐distance atmospheric optical links. Our module allows carrying out in a simple way the design and the characterization in the time domain by simulation models of optical links for atmospheric optical communications. Including parameters of physical components, we can obtain results closer to those obtained in the real world.

show abstract

A Computationally Efficient Numerical Simulation for Generating Atmospheric Optical Scintillations

Cited by 10 publications

References 36 publications

Simulation model of correlated FSO channels

Simulation model of correlated FSO channels

Spectral Study with Automatic Formant Extraction to Improve Non-native Pronunciation of English Vowels

Development and characterization of a simulation module in the temporal domain for experimental optical atmospheric links affected by optical turbulence with gamma‐gamma probability density function

Contact Info

Product

Resources

About