Joint Frequency Offset Estimation and Multiuser Detection Using Genetic Algorithm in MC-CDMA

Lu, Hoang-Yang; Fang, Wen‐Hsien

doi:10.1093/ietcom/e88-b.11.4386

Cited by 5 publications

(7 citation statements)

References 6 publications

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“…In the context of joint CFO estimation and MUD, the benefits of the proposed method over the GA approach under the constraint of having the same computational complexity are demonstrated. The number of samples in each iteration ( N ) and the number of iterations ( Iter ) associated with the CE are set to be the same as the population size and the number of generations in GA, respectively . Regarding the other parameters used in the proposed CE algorithm,

α_{m}^{0}

is 0,

β_{m}^{0}

is 1/12, and the probabilities of each of the q th modulated symbols are equally probable, that is,

p_{q}^{(0)} MathClass-rel= 1 MathClass-bin∕ Q

.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…Set l D 1. The main differences between the proposed CE-based joint CFO estimation and MUD and the method in [11] are summarized as follows. First, the CE method used IS technique under a different probability distribution to reduce the sample size of the rare event simulation.…”

Section: Cross-entropy-based Joint Carrier Frequency Estimation and Mmentioning

confidence: 99%

“…For maintaining transmission quality at a guaranteed level as the fading channel becomes more destructive, the maximum likelihood (ML) scheme is still the favored approach. A genetic algorithm (GA) approach for frequency offset estimation and MUD was also presented . This approach was based on the ML principle and concurrently estimated the frequency offsets to alleviate the ICIs and performed the MUD to mitigate the MAIs.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the effect of MAI also changes the correlation between the different subcarrier data causing many existing orthogonal frequency division multiplexing CFO estimation schemes to not be directly applicable to MC-CDMA systems. As a consequence, the consensus is that CFO and MAI in MC-CDMA systems should be resolved jointly.Recently, joint methods for CFO estimation and multiuser symbol detection have been considered [7][8][9][10][11]. The effect of frequency offset compensation with minimum mean square error (MMSE)based MUD for MC-CDMA was analyzed [7].…”

mentioning

confidence: 99%

“…Recently, joint methods for CFO estimation and multiuser symbol detection have been considered [7][8][9][10][11]. The effect of frequency offset compensation with minimum mean square error (MMSE)based MUD for MC-CDMA was analyzed [7].…”

mentioning

confidence: 99%

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Cross‐entropy‐based joint carrier frequency offset estimation and multiuser detection for multicarrier code division multiple access systems

Lain

Yang

Lin

2011

Int J Communication

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SUMMARYThis paper presents a joint carrier frequency offset estimation and multiuser detection based on a maximum likelihood approach in multicarrier code division multiple access systems. With the definition of a score function based on the log‐likelihood, the joint carrier frequency offset estimation and multiuser detection can be formulated as a nonlinear optimization problem over the joint of a multidimensional real space and a multidimensional discrete space. To reduce the computational complexity required by the joint decision statistic, while still obtaining a desirable performance, a new method using cross‐entropy optimization is proposed to solve the nonlinear optimization problem. Because of the robustness of the cross‐entropy optimization, the joint decision statistic can be efficiently solved, and, as shown by the furnished simulation results, the proposed approach can achieve satisfactory performance in various scenarios. Copyright © 2011 John Wiley & Sons, Ltd.

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