Error probabilities for Rician fading multichannel reception of binary and&amp;lt;tex&amp;gt;n&amp;lt;/tex&amp;gt;-ary signals

Lindsey, W. C.

doi:10.1109/tit.1964.1053703

Cited by 266 publications

(114 citation statements)

References 17 publications

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“…with that of matching Rice and Nakagami probability density functions, (b) Zoom in to show that the simulated distribution follows the Rice probability density function. The CGA analytical BER expression derived from (34) when the pdf of the square root energy is assumed to have a Rice distribution is, following [20], 2 2…”

Section: The Cga Analytical Methods Using the Rice Distribution And Pwmentioning

confidence: 99%

“…The CGA-Analytical method for computing BER, more mathematical than the CGA simulation method, is based on detailed analytical results for the distribution of bit energy which have been obtained previously in the context of mobile radio channels, [1], [20], [7] and [5]. This method uses (32) in terms of the square root of bit energy (SRE), …”

Section: Ber By Cga and Analytical Distribution Of Bit Energymentioning

confidence: 99%

“…In mobile radio channel work, the square root of bit energy, as channel attenuation, follows either the Rayleigh distribution, [5], the Nakagami distribution, [7] or the Rice distribution [20], and in these cases analytical expressions are available for (34). Thus, the immediate task is to ascertain whether the simulated pdf of the square root of bit energy for CSK systems can be satisfactorily matched to one of these distributions.…”

Section: Ber By Cga and Analytical Distribution Of Bit Energymentioning

confidence: 99%

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Chaos Communication Performance: Theory and Computation

Kaddoum

Lawrance

Chargé³

et al. 2010

Circuits Syst Signal Process

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In this paper new and existing approaches are developed to compute the bit error rate for chaos-based communication systems. The multi-user coherent antipodal chaos shift keying system is studied and evaluated in its coherent form, in the sense of perfect synchronization between transmitted and received chaotic sequences. Transmission is through an additive white Gaussian noise channel. Four methods are interrelated in the paper, three approximate ones and an exact one. The least accurate but most well known is based on simple Gaussian approximation; this is generalized to better reveal its structure. Two accurate and computationally efficient approximate methods are based on conditional Gaussian approximation and the statistical distribution of the typically non-constant bit energy. The most insightful but computationally expensive one is based on exact theory and rests on explicit mathematical results for particular chaotic maps used to spread binary messages. Both upper and lower bounds to the bit error rate are suggested. The relative advantages of the different approaches are illustrated with plots of bit error rate against signal to noise ratio.

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Section: The Cga Analytical Methods Using the Rice Distribution And Pwmentioning

confidence: 99%

Section: Ber By Cga and Analytical Distribution Of Bit Energymentioning

confidence: 99%

Section: Ber By Cga and Analytical Distribution Of Bit Energymentioning

confidence: 99%

See 1 more Smart Citation

Chaos Communication Performance: Theory and Computation

Kaddoum

Lawrance

Chargé³

et al. 2010

Circuits Syst Signal Process

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show abstract

“…The BER performance of any digital modulation scheme generally defined as: BER= (1) From [13] we determine the probability of error for linear BPSK signaling in Rician fading channels is given as …”

Section: Mathematical Modelmentioning

confidence: 99%

BER Performance Analysis of Cognitive Radio Network Using M-ary PSK over Rician Fading Channel.

Mohammed¹,

Bilal²,

Osman³

2017

IOSR JECE

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“…The conditioning of Z\k on a k is removed by integrating the product (25) and (24) with respect to a k from to oo to obtain [18] The inverse Laplace transform of (29) raised to the c n power is [20] [ III.…”

mentioning

confidence: 99%

The effect of Rician fading and partial-band interference on noise-normalized, fast frequency-hopped MFSK receivers

Kragh

Robertson

Proceedings of MILCOM '93 - IEEE Military Communications Conference

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Error probabilities for Rician fading multichannel reception of binary and<tex>n</tex>-ary signals

Cited by 266 publications

References 17 publications

Chaos Communication Performance: Theory and Computation

Chaos Communication Performance: Theory and Computation

BER Performance Analysis of Cognitive Radio Network Using M-ary PSK over Rician Fading Channel.

The effect of Rician fading and partial-band interference on noise-normalized, fast frequency-hopped MFSK receivers

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