2008
DOI: 10.1049/iet-com:20070207
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Performance analysis of dual-diversity receivers over correlated generalised Gamma fading channels

Abstract: The performance of dual-branch equal-gain combining (EGC) and maximal-ratio combining receivers operating over a composite correlated fading environment, modelled by the generalised Gamma (GG) distribution, is analysed. The moments of the output signal-to-noise ratio are derived in closed form for both types of receivers, and by employing the Padé approximants method, the average bit error probability is studied for a great variety of modulation schemes. Furthermore, based on the statistic of the product of tw… Show more

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Cited by 12 publications
(3 citation statements)
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“…In a homogeneous channel short-term fading is successfully described by Rayleigh, Nakagami-m, Rice or Hoyt distributions. In a real system, the surfaces are spatially correlated, so the channel is non-homogeneous [3]. Distributions that model non-homogeneous fading channels are generalized n-distribution and generalized q-distribution.…”
Section: Introductionmentioning
confidence: 99%
“…In a homogeneous channel short-term fading is successfully described by Rayleigh, Nakagami-m, Rice or Hoyt distributions. In a real system, the surfaces are spatially correlated, so the channel is non-homogeneous [3]. Distributions that model non-homogeneous fading channels are generalized n-distribution and generalized q-distribution.…”
Section: Introductionmentioning
confidence: 99%
“…Various works on the performance of diversity receivers over uncorrelated GG fading channels have been investigated [16][17][18][19][20][21][22][23][24]. Essentially, Aalo et al [16] have presented the performance of M-ary modulation schemes for MRC, EGC, and SC, whereas in ref.…”
Section: Related Workmentioning
confidence: 99%
“…The moments of the output SNR at MRC and EGC receivers, under i.n.i.d fading channels, are derived in ref. [19]. Average bit error rate (ABER) expressions for binary digital modulation schemes experiencing GG fading model were investigated by Aalo et al [20].…”
Section: Related Workmentioning
confidence: 99%