The effect of diversity on a burst-mode carrier-frequency estimator in the frequency-selective multipath channel

Hebley, Matthew G.; Taylor, D.P.

doi:10.1109/26.664311

Cited by 52 publications

(37 citation statements)

References 7 publications

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“…Equation 22 indicates that the FO estimate is asymptotically unbiased. Equations 23 and 25 show that the variance and the CRLB are equal in high SNR region when the number N of training symbols is large enough, which suggests that our proposed FO estimator satisfies the asymptotic efficiency property of the ML estimator.…”

Section: Performance Of the Frequency Offset Estimatormentioning

confidence: 99%

“…One aims at maximizing the likelihood function over ω and h. Its maximum value corresponds the joint ML estimates of ω and h. The alternative approach is the Bayesian approach adopted in [22], in which h is modeled as a random vector with some probability density p(h) and the average of the likelihood function with respect to p(h) is computed. This gives the marginal likelihood function of ω, from which the desired estimate of ω is obtained by searching the location of the maximum marginal likelihood function.…”

Section: Frequency Offset Estimationmentioning

confidence: 99%

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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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Section: Performance Of the Frequency Offset Estimatormentioning

confidence: 99%

Section: Frequency Offset Estimationmentioning

confidence: 99%

Parameter Estimation for Correlated MIMO Channels with Frequency-Selective Fading

Dong

Zhuo

2009

Wireless Pers Commun

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“…In the past, a number of works (e.g., [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]) have been devoted to the CFO estimation techniques. The least square (LS) criterion is used in [8] for CFO estimation.…”

Section: Introductionmentioning

confidence: 99%

“…The least square (LS) criterion is used in [8] for CFO estimation. Hebley [7] presented a CFO estimator based on the maximum-likelihood (ML) criterion while assuming the training sequences and channel statistics are known. In [9], the ML criterion is further employed for the joint estimation of channel and CFO.…”

Section: Introductionmentioning

confidence: 99%

On the Design of an Elegant CFO Estimate System with the Assistance of Pilots for OFDM Transmission

Lin

Hwang

2015

Applied Sciences

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We present an improved line search method of the carrier frequency offset (CFO) estimate technique for OFDM systems aided with pilots. Unlike the conventional approaches, prior knowledge of channel order is unnecessary for the presented scheme, because we apply an interpolation technique for obtaining the extended channel frequency response. The search mechanism of the proposed approach is primarily based on the criterion that CFO can be found by discovering the frequency that achieves the minimum value of the well-defined channel residual energy. In addition, we substitute the line search method with an iterative approach to reduce the proposed estimator's complexity. Analytical and simulation results have been conducted to verify the efficacy of the proposed schemes in this paper.

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“…There are several existing works on frequency offset estimation, e.g., [1]- [11]. They are mainly based on a correlation term of the training signal in time-domain or frequency-domain [1]- [4], maximum-likelihood principle [5] [6], a Bayesian approach [7], a combination of correlation terms in a sub-optimal way [8], or a combination of correlation terms using best linear unbiased estimation principle [9]- [11]. Most of them employ repetitive training signals consisting of several identical parts (or in the form of cyclic prefixes) which also yield low complexity estimators.…”

Section: Introductionmentioning

confidence: 99%

Improved maximum likelihood frequency offset estimation based on likelihood metric design

Minn

Tarasak

2006

IEEE Trans. Signal Process.

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Abstract-For emerging high data-rate communication systems in highly dispersive channels such as ultra-wideband systems, possible frequency offsets could be larger than the estimation range of the existing methods using training signals with identical parts or repetitive training signals (i.e., the training signals are composed of several identical sub-blocks or are obtained by repeating a training sub-block for several times). This paper presents a novel improved maximum likelihood frequency offset estimator which can handle at least twice the estimation range of the existing methods using training signals with identical parts and achieves a better estimation performance. Based on the likelihood metric, a new design metric is introduced which is a pair-wise error probability (PEP) between the correct frequency offset point and a trial frequency offset point. The proposed PEP metric gives more theoretical insights on the performance of practical maximum likelihood estimators. How to design the PEP to achieve both a larger estimation range and a better estimation performance in fading channel environments is also presented and the corresponding estimator implementation is described.

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The effect of diversity on a burst-mode carrier-frequency estimator in the frequency-selective multipath channel

Cited by 52 publications

References 7 publications

Parameter Estimation for Correlated MIMO Channels with Frequency-Selective Fading

Parameter Estimation for Correlated MIMO Channels with Frequency-Selective Fading

On the Design of an Elegant CFO Estimate System with the Assistance of Pilots for OFDM Transmission

Improved maximum likelihood frequency offset estimation based on likelihood metric design

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