Low Complexity MMSE-SIC Equalizer Employing Time-Domain Recursion for OFDM Systems

Park, Jeong-Hyuck; Whang, Younghoon; Kim, K.S.

doi:10.1109/lsp.2008.2003991

Cited by 28 publications

(16 citation statements)

References 11 publications

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“…The gradient is estimated separately by the blockprocessing method (11), and the recursive estimation (12) and (13). It is desirable to present gradient results for all In Fig.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

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Estimation of Zero-Error Probability of Constant Modulus Errors for Blind Equalization

Kim

2014

Journal of Internet Computing and Services

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Blind algorithms designed to maximize the probability that constant modulus errors become zero carry out some summation operations for a set of constant modulus errors at an iteration time inducing heavy complexity. For the purpose of reducing this computational burden induced from the summation, a new approach to the estimation of the zero-error probability (ZEP) of constant modulus errors (CME) and its gradient is proposed in this paper. The ZEP of CME at the next iteration time is shown to be calculated recursively based on the currently calculated ZEP of CME. It also is shown that the gradient for the weight update of the algorithm can be obtained by differentiating the ZEP of CME estimated recursively. From the simulation results that the proposed estimation method of ZEP-CME and its gradient produces exactly the same estimation results with a significantly reduced computational complexity as the block-processing method does.

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“…The gradient is estimated separately by the blockprocessing method (11), and the recursive estimation (12) and (13). It is desirable to present gradient results for all In Fig.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…The computational complexity analysis could be carried out in the aspects of time complexity and number of operations (usually multiplications), but in this paper the number of operations is analyzed according to conventional complexity analysis in the research field of equalization [11] [12].…”

Section: Gradient Of Zep-cme For Blind Equalizationmentioning

confidence: 99%

Estimation of Zero-Error Probability of Constant Modulus Errors for Blind Equalization

Kim

2014

Journal of Internet Computing and Services

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“…2. Remark 3: Although the proposed method II is very similar to the MMSE-SIC detection [16], they estimate the symbols in a different way. In the proposed method, the symbols are estimated based on the selected channel columns while they are estimated based on full channel matrix in the MMSE-SIC technique.…”

Section: B Methods IImentioning

confidence: 99%

OMP-based detector design for space shift keying in large MIMO systems

Chung

Liang

2014

2014 IEEE Global Communications Conference

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We investigate the detector design in generalized space shift keying (GSSK) modulation for large MIMO systems. An orthogonal matching pursuit (OMP) based detector design is adopted due to its low complexity compared with the maximum likelihood (ML) detector. To improve the performance of the OMP algorithm, our first design is to propose an equalizer at the receiver in order to orthogonalize the equivalent channel matrix; our second design is to propose an equalizer whose columns pursue orthonormality to the columns of the channel matrix. We obtain closed-form expressions of the equalizers under the two design objectives. Simulation results demonstrate the performance superiority compared with the standard OMP algorithm.Index Terms-Large MIMO, space shift keying, detection, orthogonal matching pursuit.

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“…[23] proposed a decision-directed channel estimation scheme to deal with the shortage of pilot for the MIMO-OFDM systems [23]. To practically analyze and effectively solve the CFO problem of MIMO-OFDM systems over time-varying channels, this paper joint considers the channel estimation/equalization based on the Kalman algorithm [24], [25], minimum mean square error (MMSE) equalization [26] and the CFO compensation that employs an adaptive modified PRCC receiver [18]. Based on the signal subspace of the channel samples' correlation matrix, the estimation of channel parameters can be translated into an unconstrained minimization problem.…”

mentioning

confidence: 99%

A Novel MIMO-OFDM Adaptive Receiver in Time-Varying Channels

Jhang¹,

Ueng²,

Jeng³

et al. 2017

IJCCE

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This paper proposes an advanced receiver with joint inter-carrier interference (ICI) self cancellation and channel equalization for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems over rapidly time-varying channel environment. The existing schemes that deal with the ICI cancellation and channel equalization can't provide satisfactory performance over time-varying channels. In term of error rate performance and low computational complexity, ICI self cancellation is the best choice. So, this paper proposes an adaptive receiver to deal with the problem of joint ICI self cancellation and channel equalization. We employ the adaptive phase rotations in the receiver to effectively track the CFO variations without feeding back the CFO estimate to the transmitter as required in traditional existing scheme. We also give some simulations to verify the proposed scheme.

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Low Complexity MMSE-SIC Equalizer Employing Time-Domain Recursion for OFDM Systems

Cited by 28 publications

References 11 publications

Estimation of Zero-Error Probability of Constant Modulus Errors for Blind Equalization

Estimation of Zero-Error Probability of Constant Modulus Errors for Blind Equalization

OMP-based detector design for space shift keying in large MIMO systems

A Novel MIMO-OFDM Adaptive Receiver in Time-Varying Channels

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