1991
DOI: 10.1109/26.76460
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Analysis of equal gain diversity on Nakagami fading channels

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Cited by 208 publications
(117 citation statements)
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“…When contrasted with the true classical solution in the form of (22), which would require an -fold convolution (itself an -fold integral) or other means to obtain the pdf of the combined fading RV [17], the form of the solution as given by (30) together with (33) and (34) is considerably simpler. The full details of this approach for Nakagami-distributed channels (paths) are given in [16].…”
Section: B) Egc With Independent (But Not Necessarily Identical) Fadimentioning
confidence: 99%
“…When contrasted with the true classical solution in the form of (22), which would require an -fold convolution (itself an -fold integral) or other means to obtain the pdf of the combined fading RV [17], the form of the solution as given by (30) together with (33) and (34) is considerably simpler. The full details of this approach for Nakagami-distributed channels (paths) are given in [16].…”
Section: B) Egc With Independent (But Not Necessarily Identical) Fadimentioning
confidence: 99%
“…1 in conjunction with Fig. 2, where the demodulator is comprised of M branches, each corresponding to a single MFSK tone and consisting of a bandpass filter (BPF), a square-law detector [1] as well as a diversity combiner, which performs linear or equal gain combining [3] of the signals received via diverse paths. Since MFSK is a noncoherent scheme, we consider the case of equal gain combining, which results in a simpler receiver structure than that required by optimum maximal ratio combining [17].…”
Section: System Overviewmentioning
confidence: 99%
“…Moreover, by employing diversity combining at the receiver, the multipath fading encountered in wireless channels may be combatted by achieving a substantial diversity gain. Hence, noncoherent MFSK combined with diversity reception has attracted a lot of attention in the context of wireless communication [2], [3]. A range of further MFSK-related research problems were considered in [4], [5].…”
Section: Introductionmentioning
confidence: 99%
“…In order to estimate f γ (x) in (30), the Beaulieu infinite series approximation of the sum of independent random variables can be efficiently applied for Rayleigh and Nakagami-m fading channels [1], [9]. Note that for the important practical case of L = 2 with Rayleigh fading and unequal mean SNRs, f γ (x) can be expressed in closed-form [10].…”
mentioning
confidence: 99%