Carrier frequency offset estimation in BLAST MIMO systems

SUMMARYThis paper investigates an intervehicle communication method as a safe driving support system for intersection collision avoidance warnings. In this kind of system, realization of highly reliable communications in the physical layer is an absolute requirement. As a result, we propose a new MIMO-STBC (Space-Time Block Coding) method based on intersection propagation channel characteristics. MIMO transmission characteristics are determined by the propagation channel characteristics. First, we use a raytracing method simulation to clarify the propagation channel conditions, and then model the intersection propagation channel. We use the characteristics of this propagation channel to propose a MIMO-STBC method that utilizes decision feedback channel estimation, and verify the effectiveness of the proposed method in computer simulations.

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“…There have been various investigations into this kind of phase correction in MIMO systems [10][11][12][13][14].…”

Section: Application Model and Problems With Mimo-stbcmentioning

confidence: 99%

MIMO‐STBC scheme for intervehicle communications using decision feedback channel estimation method based on propagation feature at intersection

Ito

Itoh

nda

et al. 2007

Electron. Comm. Jpn. Pt. I

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“…However, in practical MIMO systems, FO needs to be estimated before channel estimation and FO estimation error will affect the performance of channel estimation. So many previous researches [7][8][9][10][11][12] have considered the problem of joint FO and channel estimation in MIMO flat-fading channels and few papers [13][14][15] research this problem in MIMO frequency-selective channels. All these papers assume that the channel is independent and identically distributed (i.i.d).…”

Section: Introductionmentioning

confidence: 99%

“…The channel is assumed to be frequency-selective and block fading with both spatial fading correlation and multipath correlation. The contribution of this paper is that compared with previous works [7][8][9][10][11][12][13][14][15][16][17][18], we take the statistical model for spatial and multipath correlations into account in both FO and channel estimators. According to the Bayesian principle, a ML frequency offset estimator is proposed by averaging the joint likelihood function of the FO and the channel over the channel statistics and maximizing the resulting marginal likelihood function of the FO.…”

Section: Introductionmentioning

confidence: 99%

Parameter Estimation for Correlated MIMO Channels with Frequency-Selective Fading

Dong

Zhuo

2009

Wireless Pers Commun

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In this paper, we address the problem of frequency offset and channel gain estimation for frequency-selective multi-input multi-output (MIMO) correlated fading channels. A maximum-likelihood (ML) frequency offset (FO) estimator is proposed by using the Bayesian approach. We show that the proposed FO estimator is efficient and asymptotically optimal. Based on the FO estimate, we derive the linear minimum mean square error (LMMSE) channel estimator and analytically investigate the effect of frequency offset estimation error on the mean square error (MSE) performance of the channel estimator. Finally, the performances of the FO and channel estimation are evaluated by simulation results.

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“…Since the common TS are used to estimate FO and channel, training overhead can also be greatly reduced. Up to now, many researches [3][4][5] have considered the problem of joint FO and channel estimation in MIMO flat-fading channels and few papers [6][7] research this problem in MIMO frequency-selective channels.…”

Section: Introductionmentioning

confidence: 99%

Joint timing error, frequency offset and channel estimation for MIMO systems

Dong

2009

Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wireless

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This paper deals with the problem of joint timing error, frequency offset and channel estimation in multi-input multi-output (MIMO) frequency selective channels. Two equivalent signal models with frequency offset and timing error are given, and then a joint estimation method is derived. The proposed estimation method consists of two steps. Firstly, a maximum-likelihood (ML) frequency offset (FO) estimator is proposed based on the second signal model. Secondly, based on the FO estimate, we formulate the timing error and channel estimation as a problem of composite hypothesis testing according to the first signal model, and then solve the problem by the composite hypothesis testing approaches. Simulation results are performed to show the effectiveness of the proposed method.

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Carrier frequency offset estimation in BLAST MIMO systems

Cited by 8 publications

References 2 publications

MIMO‐STBC scheme for intervehicle communications using decision feedback channel estimation method based on propagation feature at intersection

MIMO‐STBC scheme for intervehicle communications using decision feedback channel estimation method based on propagation feature at intersection

Parameter Estimation for Correlated MIMO Channels with Frequency-Selective Fading

Joint timing error, frequency offset and channel estimation for MIMO systems

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