Optimized Joint Fine Timing Synchronization and Channel Estimation for MIMO Systems

Wang, Chin-Liang; Wang, Hung-Chin

doi:10.1109/tcomm.2011.012711.100040

Cited by 27 publications

(19 citation statements)

References 31 publications

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“…In this section, we compare our works with Wang's method [33] mainly. We use the ZC sequence with the length of 256 as MIMO training sequence in Wang's method.…”

Section: Performance and Computational Complexity Analysismentioning

confidence: 99%

Joint timing synchronization and channel estimation based on ZCZ sequence set in SC-MIMO-FDE system

Wang

Sun

et al. 2016

J Wireless Com Network

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In this paper, we investigate the channel estimation and time synchronization problem based on the zero correlation zone (ZCZ) sequence set for single carrier multiple-input multiple-output frequency domain equalization (SC-MIMO-FDE). A factorized construction of ZCZ sequence set considering the properties of both ZCZ and nonzero correlation zone (NCZ) is proposed with efficient generator and correlator, which can be in favor of timing synchronization and channel estimation both in performance and computation complexity. Using the ZCZ sequence set, a new algorithm called twice section-maximum algorithm is put forward to eliminate energy interference among channels from different transmitting antennas to the same receiving antenna. The performance achieved by the developed algorithm which performs joint timing synchronization and channel estimation with lower computational cost is better than that of the conventional method.

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“…In this section, we compare our works with Wang's method [33] mainly. We use the ZC sequence with the length of 256 as MIMO training sequence in Wang's method.…”

Section: Performance and Computational Complexity Analysismentioning

confidence: 99%

Joint timing synchronization and channel estimation based on ZCZ sequence set in SC-MIMO-FDE system

Wang

Sun

et al. 2016

J Wireless Com Network

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“…Various techniques based on training sequences have been proposed to obtain accurate synchronization and channel estimation [9][10][11][12][13][14][15][16][17][18][19]. In [15], a training sequence arrangement based on modulated orthogonal sequences (MOS) for MIMO-OFDM systems was proposed to synchronize different transmit antennas.…”

Section: Introductionmentioning

confidence: 99%

“…However, the threshold has to be determined in a trial-and-error manner. In [18], a joint timing synchronization and channel estimation approach based on the same training sequence arrangement was proposed. First, the optimal and suboptimal threshold factors are derived by analyzing the probability density functions of the cross-correlation function outputs in Rayleigh and Ricean fading channels.…”

Section: Introductionmentioning

confidence: 99%

“…This paper develops a joint timing synchronization and channel estimation algorithm suitable for downlink MIMO networks based on a time-domain training sequence arrangement in the short-range wireless transmission environment. Unlike the previous works [9][10][11][12][13]17,18], this paper not only introduces the use of sliding observation vector in timing synchronization phase but also applies the minimum mean squared error (MMSE) criterion to perform fine time adjustment. In this paper, we first obtain a coarse timing offset using the cross-correlation function outputs based on the proposed training sequences at each receive antenna and then apply the generalized maximum-likelihood (ML) algorithm to find the advanced timing, relative timing indices, and the corresponding CIR estimates.…”

Section: Introductionmentioning

confidence: 99%

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Optimized joint timing synchronization and channel estimation for communications systems with multiple transmit antennas

Kung

Parhi

2013

EURASIP J. Adv. Signal Process.

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This paper proposes a joint timing synchronization and channel estimation scheme for communications systems with multiple transmit antennas based on a well-designed training sequence arrangement. In addition, a generalized maximum-likelihood (ML) channel estimation scheme is presented, and this one-shot scheme is applied to obtain all channel impulse responses (CIR) from different transmit antennas. The proposed approach consists of three stages at each receive antenna. First, coarse timing and frequency offset estimates are obtained. Then, an advanced timing, relative timing indices, and the corresponding CIR estimates at the second stage are obtained using the generalized ML estimation based on a sliding observation vector. Finally, the fine time adjustment based on the minimum mean squared error criterion is performed. From the simulation results, the proposed approach has excellent performance in timing synchronization under several channel models at signal-to-noise ratio smaller than 1dB.

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“…It is well known that the receiver's ability to synchronise the timing epoch is critical to the overall performance of multiple-input multiple-output (MIMO) systems [1][2][3][4][5][6]. A number of papers dealing with timing synchronisation in MIMO receivers (see e.g.…”

Section: Introductionmentioning

confidence: 99%

Low‐complexity symbol timing error detection for quasi‐orthogonal space–time block codes

Dmochowski¹

2013

IET Communications

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The author presents the design and analysis of low-complexity symbol timing error detectors (TEDs) for timing synchronisation in quasi-orthogonal space-time block code (QOSTBC) receivers. The estimators operate on data symbols and approximate decision variables, producing timing error measurements which are shown to be robust to channel fading. In evaluating the detector S-curve for the general form of the estimator, the author shows that the result is independent of the constellation rotation angle employed by the code. The expressions for the estimation error variance and TED signal-to-noise ratio are also obtained, with the analysis carried out under the assumptions of perfect data and channel knowledge at the receiver. Through system simulations, the effects of decision errors on the detector characteristics are examined, and the overall system performance is evaluated, where the proposed TEDs are incorporated into the receiver timing loop. Receivers with perfect channel knowledge and pilot-based channel estimation are considered. Symbol error rate results show timing synchronisation loss of less than 0.5 dB for a receiver with perfect channel information. In addition, it is shown that the receiver is able to track the timing variations two orders of magnitude faster than required by the present-day hardware oscillators.

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Optimized Joint Fine Timing Synchronization and Channel Estimation for MIMO Systems

Cited by 27 publications

References 31 publications

Joint timing synchronization and channel estimation based on ZCZ sequence set in SC-MIMO-FDE system

Joint timing synchronization and channel estimation based on ZCZ sequence set in SC-MIMO-FDE system

Optimized joint timing synchronization and channel estimation for communications systems with multiple transmit antennas

Low‐complexity symbol timing error detection for quasi‐orthogonal space–time block codes

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