2018
DOI: 10.1049/iet-com.2017.1388
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New approximation for pdf of K‐ distribution: analytical study of QoS parameters in free space optical communication

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Cited by 3 publications
(4 citation statements)
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“…Generally, the KL divergence is used to measure the difference degree of between two distributions, and its mathematical expression is defined as follows (Singh et al., 2018). DKL)(px(x)qx(x)=0px(x)ln)(px(x)/qx(x)dx ${D}_{KL}\left({p}_{x}(x)\Vert {q}_{x}(x)\right)=\int \nolimits_{0}^{\infty }{p}_{x}(x)\mathrm{ln}\left({p}_{x}(x)/{q}_{x}(x)\right)dx$ where px(x) ${p}_{x}(x)$ is the PDF of the exact distribution, and qx(x) ${q}_{x}(x)$ is approximate PDF.…”
Section: A Channel Model Caused By Strong Solar Wind Scintillationmentioning
confidence: 99%
See 1 more Smart Citation
“…Generally, the KL divergence is used to measure the difference degree of between two distributions, and its mathematical expression is defined as follows (Singh et al., 2018). DKL)(px(x)qx(x)=0px(x)ln)(px(x)/qx(x)dx ${D}_{KL}\left({p}_{x}(x)\Vert {q}_{x}(x)\right)=\int \nolimits_{0}^{\infty }{p}_{x}(x)\mathrm{ln}\left({p}_{x}(x)/{q}_{x}(x)\right)dx$ where px(x) ${p}_{x}(x)$ is the PDF of the exact distribution, and qx(x) ${q}_{x}(x)$ is approximate PDF.…”
Section: A Channel Model Caused By Strong Solar Wind Scintillationmentioning
confidence: 99%
“…Generally, the KL divergence is used to measure the difference degree of between two distributions, and its mathematical expression is defined as follows (Singh et al, 2018).…”
Section: Approximate K Distribution Of the Strong Solar Wind Turbulen...mentioning
confidence: 99%
“…The signal dependent BER in the above mentioned modulation schemes can be expressed in a unifying manner as [27]…”
Section: Bit Error Ratementioning
confidence: 99%
“…As a consequence of the stochastic nature of the optical signal, these quantities behave as random variables. Typically, investigation involving these measures remains restricted only to their respective averages (first moments) [4,[13][14][15][16][17][18][19][20][21][22][23][24][25][26][27]. However, since the full information concerning a random variable is encoded in its distribution, the average values may not capture the true behaviour of these metrics.…”
Section: Introductionmentioning
confidence: 99%