2010
DOI: 10.1109/jlt.2010.2040136
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Rateless Coding on Experimental Temporally Correlated FSO Channels

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Cited by 59 publications
(50 citation statements)
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“…By using this approach, it is not possible to obtain a time resolution that is less than one correlation time, i.e., the time in which the amplitude of normalized covariance function is equal to 0.5 [25]. In order to improve the resolution, a time correlation between the irradiance samples has to be introduced.…”
Section: Theoretical Background For Data Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…By using this approach, it is not possible to obtain a time resolution that is less than one correlation time, i.e., the time in which the amplitude of normalized covariance function is equal to 0.5 [25]. In order to improve the resolution, a time correlation between the irradiance samples has to be introduced.…”
Section: Theoretical Background For Data Analysismentioning
confidence: 99%
“…In the literature, such information is mainly obtained from the measurements, thus limiting the analysis for given experimental conditions [25,26].…”
Section: Introductionmentioning
confidence: 99%
“…In general, the overall transmission delay can be expected to exceed 100 ms and therefore it is not practical to implement FEC-interleaving schemes for delay-critical data. Latency can be alleviated by introducing rate-compatible (or rateless) coding into the error correction scheme [181]. A key aspect of rateless coding is that the receiver is capable of decoding the original information, with high probability, even if only part of the original information is available.…”
Section: Fade Mitigation Techniquesmentioning
confidence: 99%
“…The selection of coding scheme to combat such channel conditions has been a challenging research issue. Coding schemes that have already been proposed are coded multi-input multi-output (MIMO) [3] and rate-less coding [2] as well as adaptive coded modulation [4]. Low-density parity-check (LDPC) codes are advocated in [3].…”
Section: Introductionmentioning
confidence: 99%
“…In MIMO, more than one source and receiver are installed to provide spatial diversity for better resilience against turbulence. Raptor codes (concatenation of an inner code with an outer fountain code such as Luby transform (LT)) have been shown to provide significant tolerance to atmospheric turbulence [2]. In [4], adaptation of modulation and code has been proposed.…”
Section: Introductionmentioning
confidence: 99%