Training Symbol Design for Channel Estimation and IQ Imbalance Compensation in OFDM Systems

Manasseh, Emmanuel; Ohno, Shûichi

doi:10.1587/transfun.e95.a.1963

Cited by 4 publications

(11 citation statements)

References 12 publications

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“…The scheme in [20,21] works well and provides similar results as the proposed AMCMC algorithm; however, the convergence of the CE algorithm is inferior to that of the AMCMC algorithm. AMCMC converges faster than the CE scheme due to some restrictions imposed on the generated samples of subcarrier sets.…”

Section: A) Subcarrier Selectionmentioning

confidence: 78%

“…In [20,21], cross-entropy (CE) method is employed to search for the near-optimal position of the training symbol that minimizes the channel estimate MSE. The scheme in [20,21] works well and provides similar results as the proposed AMCMC algorithm; however, the convergence of the CE algorithm is inferior to that of the AMCMC algorithm.…”

Section: A) Subcarrier Selectionmentioning

confidence: 99%

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Preamble design for estimation and compensation of channel distortion parameters in OFDM systems

Manasseh

Ohno

Yamamoto

2014

SIP

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I . I N T R O D U C T I O NOrthogonal frequency-division multiplexing (OFDM) has become a widely accepted technique for high data rate wireless access systems. Indeed, owing to its inherent robustness to multipath propagation, OFDM has become the modulation choice for many communication systems [1][2][3].A very promising technical approach for future wireless communication systems is to combine OFDM and direct-conversion receivers (DCRs). The DCR is a promising approach as it provides a low-cost and low-power receiver implementation over the traditional superheterodyne receivers [4,5]. However, DCRs front-ends are sensitive to component imperfections due to manufacturing non-uniformity, resulting to radio frequency (RF) impairments such as in-phase and quadrature (I/Q) imbalances and the carrier frequency offset (CFO) [4][5][6][7][8][9].Since RF impairments are unavoidable in low-cost and low-power DCRs front-ends, then, to obtain better performance for such communication systems, efficient estimation and compensation for the RF impairments is crucial [5,10]. CFO and I/Q mismatch seriously degrade the system performance, and their estimation and compensation are generally difficult as they are entangled in the received signal. I/Q imbalance results in a mirroring effect while CFO

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Section: A) Subcarrier Selectionmentioning

confidence: 78%

Section: A) Subcarrier Selectionmentioning

confidence: 99%

Preamble design for estimation and compensation of channel distortion parameters in OFDM systems

Manasseh

Ohno

Yamamoto

2014

SIP

Self Cite

View full text Add to dashboard Cite

show abstract

“…The scheme in [12,13] works well and provides better results as the proposed AMCMC algorithm, however the AMCMC converges faster than the CE scheme due to some restrictions imposed on the generated samples of subcarrier sets.…”

Section: Subcarrier Selectionmentioning

confidence: 98%

“…In [12,13], cross-entropy (CE) method is employed to search for the near-optimal position of the training symbol that minimizes the channel estimate MSE. The scheme in [12,13] works well and provides better results as the proposed AMCMC algorithm, however the AMCMC converges faster than the CE scheme due to some restrictions imposed on the generated samples of subcarrier sets.…”

Section: Subcarrier Selectionmentioning

confidence: 99%

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Preamble Design for Joint estimation of Channel, CFO and Receiver I/Q-Imbalance in OFDM Systems

Manasseh

Ohno

Nakamoto

2013

Stochastic Systems Theory and its Applications (SSS)

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In this paper, preamble design for estimation of frequency selective channels, carrier frequency offset (CFO) and inphase/quadrature-phase (I/Q) imbalance in orthogonal frequency division multiplexing (OFDM) systems is proposed. First we utilize convex optimization to optimize power of all active subcarriers, then we employ adaptive Markov chain Monte Carlo (AMCMC) techniques to select preamble sequence that minimizes the channel estimate mean squared error (MSE) while suppressing the effect of the I/Q mismatch. To estimate CFO, maximum likelihood (ML) based scheme that utilizes two successive OFDM preambles is employed. The CFO is estimated by considering the phase rotation between two consecutive received OFDM preambles. Numerical simulations are provided to verify the efficacy of the proposed design.

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ICA-based compensation for IQ imbalance in OFDM optical fiber communication

Jiang

et al. 2014

Optics Communications

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Training Symbol Design for Channel Estimation and IQ Imbalance Compensation in OFDM Systems

Cited by 4 publications

References 12 publications

Preamble design for estimation and compensation of channel distortion parameters in OFDM systems

Preamble design for estimation and compensation of channel distortion parameters in OFDM systems

Preamble Design for Joint estimation of Channel, CFO and Receiver I/Q-Imbalance in OFDM Systems

ICA-based compensation for IQ imbalance in OFDM optical fiber communication

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