ML Time-Frequency Synchronization for MIMO-OFDM Systems in Unknown Frequency Selective Fading Channels

Saemi, Amir; Meghdadi, Vahid; Cances, Jean-Pierre; Zahabi, Mohammad Reza; Dumas, Jean-Michel

doi:10.1109/pimrc.2006.254010

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…After the serial to parallel conversion, the CP is discarded by multiplying the inverse of C matrix with the received signal vector, i.e., To simplify the input-output relationship, we rewrite the equation (7) According to (8), the channel impulse response (CIR) hi conditioned on Yi and t: is complex Gaussian distributed [9] with hi I (Yi,t:) � CN(h"i:h) • where hi and i:h; denote, respectively, the mean vector and covariance matrix of the channel response hi' By applying the linear minimum mean square error estimation (LMMSE) [9], the channel conditional mean hi becomes (11) (12) where with ai� j' / the average power of the I th tap between the j -th …”

Section: B Received Signal With Cfomentioning

confidence: 99%

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Joint estimation of frequency offset and channel parameters for MIMO-OFDM systems with PAPR reduction precoder

Hao

Tsai

Lee

2011

2011 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS)

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Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is very sensitive to the carrier frequency offset (CFO), which not only affects the channel estimation but also the selection of a minimum error probability based precoder for peak-to-average power ratio (PAPR) reduction such that the system performance will degrade. This paper presents the joint scheme of CFO) and channel estimation in the MIMO-OFDM systems with the minimum error probability based precoder for reducing P APR.First, a minimum error probability based precoding matrix to reduce the PAPR of OFDM signals is designed. The CFO and CIR estimators based on the expectation maximization (EM) algorithm with an iterative scheme are developed to execute the estimations. To reduce computational complexity, a simpler coarse CFO estimator is carried out before the fine estimation so that a more accurate and faster convergent estimate can be attained. Simulation results show that the CFO estimator with a coarse initial estimate not only has an excellent performance at reduced computational complexity, but also makes the CIR estimation achieve almost ideal performance.

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Section: B Received Signal With Cfomentioning

confidence: 99%

“…CFO is estimated on assuming the perfect channel, or channel is estimated on assuming zero CFO. The algorithm combing the time-frequency synchronization with the channel identification in MIMO-OFDM is proposed in [8] and [9]. However a rather high complexity is the major drawback of the algorithm.…”

Section: Introductionmentioning

confidence: 99%

Joint estimation of frequency offset and channel parameters for MIMO-OFDM systems with PAPR reduction precoder

Hao

Tsai

Lee

2011

2011 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS)

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“…A simple MIMO extension of Schmidl's algorithm was proposed in [6], and another MIMO extension of repeated preamble algorithm was utilized by Zelst [7]. The authors have proposed a general algorithm for joint time frequency synchronization for OFDM-MIMO systems in [8].…”

Section: Introductionmentioning

confidence: 99%

MIMO-OFDM Iterative Time - Frequency Synchronization

Saemi

Meghdadi

Cances

et al. 2007

2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications

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This paper addresses an iterative Expectation-Maximization (EM) time-frequency synchronization algorithm joint with channel estimation for MIMO-OFDM systems in frequency selective fading channels. The receivers iterates between detection and estimation. For each iteration, we calculate first the expectation of ODFM symbols by using a posteriori probabilities provided by MAP decoder and second we maximise a proposed metric to obtain both frequency offset and then symbol-timing. The channel can be identified by means of these estimates. This algorithm can work in transmission mode and thus can be used to estimate the residual errors or track the change of the parameters.The performance of the proposed synchronization approach, in terms bit error rate and mean square error of the estimated frequency offset, is shown.

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Joint maximum-likelihood frequency synchronization and channel estimation in MIMO-OFDM systems with timing ambiguity

Salari

Heydarzadeh

Cances

2012

2012 International Symposium on Wireless Communication Systems (ISWCS)

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ML Time-Frequency Synchronization for MIMO-OFDM Systems in Unknown Frequency Selective Fading Channels

Cited by 6 publications

References 13 publications

Joint estimation of frequency offset and channel parameters for MIMO-OFDM systems with PAPR reduction precoder

Joint estimation of frequency offset and channel parameters for MIMO-OFDM systems with PAPR reduction precoder

MIMO-OFDM Iterative Time - Frequency Synchronization

Joint maximum-likelihood frequency synchronization and channel estimation in MIMO-OFDM systems with timing ambiguity

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