Postdetection selection diversity reception with correlated, unequal average power Rayleigh fading signals for pi /4-shift QDPSK mobile radio

Adachi, Fumiyuki; Ohno, K.; Ikura, M.

doi:10.1109/25.142778

Cited by 30 publications

(4 citation statements)

References 16 publications

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“…For binary DPSK or noncoherent FSK (NFSK), it is well known that (16) where the constant for DPSK and for NFSK. It follows from inserting (16) into (15) that (17) To demonstrate the use of the formula, we explicitly express for the cases and , ending up with…”

Section: A Binary Dpsk and Nbfskmentioning

confidence: 99%

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A general analytical approach to multi-branch selection combining over various spatially correlated fading channels

Zhang

2002

IEEE Trans. Commun.

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Driven by the potential application to wireless communications, intensive research efforts have been made on the study of various selective combining (SC) schemes in the past decade. Nevertheless, regardless of its practical importance, performance analysis of multi-branch SC over spatially correlated fading channels is not available in literature except for the simplest case of dual diversity. The major difficulty lies in the fact that SC has its root in the theory of order statistics, and yet systematic methodology has been developed mainly for order statistics obtained from an independent population. In this paper, we formulate the problem in a very general framework, whereby a general solution is derived. The application of the new solution to SC with different modulation schemes and operational environments is elaborated. The fading environments to be addressed include correlated Nakagami, Rayleigh, and Rician channels. Numerical examples are also presented to illustrate the use of the theory. Index Terms-Correlated multi-branch selection combining, selection combining in correlated fading, selection combining on correlated channels.

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Section: A Binary Dpsk and Nbfskmentioning

confidence: 99%

“…All these methods stand on their own merit, providing solutions to scenarios where they are applicable and making their own contribution to the progress in the SC research. Other relevant work on dual SC over correlated Rayleigh channels includes [17] and [18].…”

Section: Introductionmentioning

confidence: 99%

A general analytical approach to multi-branch selection combining over various spatially correlated fading channels

Zhang

2002

IEEE Trans. Commun.

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“…[16] and [17] have presented expressions for the pdf after maximal ratio combining for the Rayleigh channel once the eigenvalues are extracted from the correlations matrix. The pdf of dual selection diversity for correlated branches in a Rayleigh channel is presented in [18] and [19] but in both cases the result is left in integral form.…”

Section: Introductionmentioning

confidence: 99%

Analysis of a two-branch maximal ratio and selection diversity system with unequal SNRs and correlated inputs for a Rayleigh fading channel

Dietze

Dietrich²,

Stutzman³

2002

IEEE Trans. Wireless Commun.

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An analytical expression for the probability density function of the signal-to-noise ratio (SNR) at the output of a two-branch maximal ratio and selection diversity system is given. The two branches are assumed to be Rayleigh fading, correlated, as well as of unequal average SNRs. Measurements of the cumulative distribution functions after selection and maximal ratio combining were made in Rayleigh fading channels and compared with the analytical results. Also presented are the exact analytical average probabilities of symbol error for coherent binary phase-shift keying and coherent quaternary phase-shift keying before and after two-branch maximal ratio combining for a slow and flat fading correlated Rayleigh channel.Index Terms-Antenna diversity, binary phase-shift keying, correlated channels, maximal ratio, quaternary phase-shift keying, Rayleigh, selection diversity.

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“…As is typical, we model C ( T ; t) as a complex zero-mean Gaussian process (in t) [9]; the envelope of c ( r ; t ) then has Rayleigh statistics. This The form and parameters adopted for C ( T ; t) are based on several factors: reported measurements [ 121-[ 151, analysis and simulation [16], [17], and expedience. We focus on a near worst-case channel in terms of TM and f~.…”

Section: Introduction E Consider Communication Over Mildly Dispersmentioning

confidence: 99%

Detection for a statistically-known, time-varying dispersive channel

Matolak

Wilson

Proceedings of Vehicular Technology Conference - VTC

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Abstract--Detection for the statistically known channel (SKC) is aimed at obtaining good performance in situations where our statistical knowledge of a time-varying channel is good, and where other equallization/detection schemes are either too complex to implement, or their performance is limited due to the rapidity of channel fading, or where we are simply unable to perform channel estimation. By using a statistical characterization of the channel, we develop a new detector that performs maximumlikelihood sequence estimation (MLSE) (given the channel model) on blocks of N symbols. Both symbol-spaced and fractionally spaced samples are used, to obtain two different detectors, that are generalizations of those devised for optimal block schemes on nondispersive channels. The detector that uses fractionally spaced samples is shown to outperform the detector that uses symbol-spaced samples. The performance of both appears to approach that of the corresponding known channel (KC) detector as the blocklength increases. We also numerically evaluate the SKC detector performance under conditions where the channel parameters (statistics) are incorrectly estimated, and show that the fractionally spaced detector is fairly robust to modeling errors. Finally, we devise a sliding block algorithm, for use when transmitting more than N symbols.

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Postdetection selection diversity reception with correlated, unequal average power Rayleigh fading signals for pi /4-shift QDPSK mobile radio

Cited by 30 publications

References 16 publications

A general analytical approach to multi-branch selection combining over various spatially correlated fading channels

A general analytical approach to multi-branch selection combining over various spatially correlated fading channels

Analysis of a two-branch maximal ratio and selection diversity system with unequal SNRs and correlated inputs for a Rayleigh fading channel

Detection for a statistically-known, time-varying dispersive channel

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