1998
DOI: 10.1109/26.664305
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A statistical basis for lognormal shadowing effects in multipath fading channels

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Cited by 181 publications
(118 citation statements)
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“…Since X (m) i,j is also log-normal [20], we expect the sum Z (m) i,j to also be Gaussian (in dB). A linear regression of the frequency averaged received signal powers {P (m) i,j } i,j versus known distances {d i,j } i,j is used to estimate the constants (P T − Π 0 ) and n p (6) for each experiment m. In our experiments, we have used ∆ 0 = 1m.…”
Section: A Analysis Of Received Powermentioning
confidence: 99%
“…Since X (m) i,j is also log-normal [20], we expect the sum Z (m) i,j to also be Gaussian (in dB). A linear regression of the frequency averaged received signal powers {P (m) i,j } i,j versus known distances {d i,j } i,j is used to estimate the constants (P T − Π 0 ) and n p (6) for each experiment m. In our experiments, we have used ∆ 0 = 1m.…”
Section: A Analysis Of Received Powermentioning
confidence: 99%
“…Due to signals from various paths, it is more realistic to calculate the ensemble mean received power of all these signals. And signal distribution under fading channels has been proved to conform to a log-normal distribution closely [16].…”
Section: Chapter 2 Location Estimation In Wireless Sensor Networkmentioning
confidence: 99%
“…Shadowing is normally assumed to be frequency-nonselective, but in practice it is frequency-selective (Coulson et al, 1998). In a lossy medium the frequency has some effect because usually it is the thickness of the material in terms of the number of wavelengths and the electrical properties of the material that cause the loss (Pahlavan & Levesque, 1995).…”
Section: Shadowingmentioning
confidence: 99%