Preamble Based Channel and CFO Estimation for MIMO-OFDM Systems with Null Subcarriers

Manasseh, Emmanuel; Ohno, Shuichi; Nakamoto, Masayoshi

doi:10.1587/transfun.e94.a.2271

Cited by 7 publications

(22 citation statements)

References 25 publications

(37 reference statements)

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“…To formulate reasonable constraints for the preamble design, we consider a noise free frequency selective fading channel and no phase errors, that is, when = 0. Frequency domain representation of the received signal y m without phase errors can be written as [7] …”

Section: I/q Imbalance Parameter Estimationmentioning

confidence: 99%

“…We utilize some criteria to design preamble that minimizes the channel estimate MSE while suppressing the interference replica caused by the I/Q imbalances. To estimate the residual CFO, we adopt an ML estimator in [7] that utilizes two consecutive OFDM preambles.…”

Section: Preamble Designmentioning

confidence: 99%

“…Most of the existing schemes are based on the estimation and compensation for individual I/Q imbalance and CFO by using specific preamble [1,[7][8][9]. In [7][8][9], CFO estimation schemes using the preamble with repeated pattern have been proposed. The preambles in [7][8][9] provide promising CFO performance in the absence of I/Q imbalance.…”

Section: Introductionmentioning

confidence: 99%

“…In [7][8][9], CFO estimation schemes using the preamble with repeated pattern have been proposed. The preambles in [7][8][9] provide promising CFO performance in the absence of I/Q imbalance. However, these preamble structures are not efficient for CFO estimation in the presence of I/Q imbalance and may not provide simple and accurate estimations of I/Q imbalance.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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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Section: I/q Imbalance Parameter Estimationmentioning

confidence: 99%

Section: Preamble Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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 multiple input multiple output (MIMO) scenario where disjoint pilot symbols are utilized for each transmit antenna, the CE-based algorithm can efficiently design pilot placement for each antenna by adopting the algorithm in [24].…”

mentioning

confidence: 99%

Pilot symbol assisted channel estimation for OFDM-based cognitive radio systems

Manasseh

Ohno

Nakamoto

2013

EURASIP J. Adv. Signal Process.

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In this article, challenges regarding the provision of channel state information (CSI) in non-contiguous orthogonal frequency division multiplexing (NC-OFDM) cognitive radio (CR) systems are addressed. We propose a novel scheme that utilizes cross entropy (CE) optimization together with an analytical pilot power distribution technique to design pilot symbols that minimizes the channel estimate mean squared error (MSE) of frequency-selective channels. The optimal selection of pilot subcarriers is a combinatorial problem that requires heavy computations. To reduce the computational complexity, the CE optimization is utilized to determine the position of pilot subcarriers. Then, for a given pilot placement obtained by the CE algorithm, a closed form expression to obtain optimal pilot power distribution is employed. Simulation results indicate that, the proposed pilot symbol design provides better channel estimate MSE as well as the bit error rate (BER) performance when compared with the conventional equal powered pilot design.

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Preamble Based Channel and CFO Estimation for MIMO-OFDM Systems with Null Subcarriers

Cited by 7 publications

References 25 publications

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

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

Pilot symbol assisted channel estimation for OFDM-based cognitive radio systems

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