Frequency Offset Estimation and Compensation Using Superimposed Training

Orozco-Lugo, A.G.; Lara, M.; Alameda-Hernández, E.; Moosvi, S. M. A.; McLernon, Des

doi:10.1109/iceee.2007.4344988

Cited by 3 publications

(8 citation statements)

References 10 publications

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“…The simulation results for all Doppler frequencies stated are presented in Figure 2. There it is possible to contrast the plots of NCMSE when the method proposed in this paper is used, against the compensation of CFO using [9], and then the estimation of the channel using bidimensional basis projection is carried out. It is possible to observe that the method proposed here performs exactly as the estimator does when no CFO is considered, but the number of DPS sequences is augmented.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…This performance is less favorable compared to that exhibited by the estimator when no CFO is stated and the exact number of DPS sequences is utilized. This phenomenon is due to the fact that the frequency band-pass of the DPS is enlarged to absorb the possible errors during the rough estimation of the CFO, and consequently this increases the number of DPS sequences to be used, but this penalty is acceptable considering the gain obtained when this method is compared with the one that first corrects CFO using [9] and then estimates the communication channel using bidimensional basis projection. According to the figure presented, the gain between both methods is at least 5 dB for f d = 120 Hz, and 10 dB when f d = 10 Hz.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…From 1 It could be noted that if f 0 is several times larger than f d then the number of DPS sequences increases considerably, which implies a reduction in the channel estimation performance [11]. In order to minimize this phenomenon, it is possible to carry out a coarse estimation of the CFO as in [6] and [9]. This coarse estimation serves to counteract the effect of the CFO in a rough fashion, with the error between the original CFO and the coarse estimation approximated together with the channel via the projection onto the basis.…”

Section: Cfo and Channel Estimation Based On A Bidimensional Basismentioning

confidence: 99%

“…For single carrier transmissions, [6] proposes the use of time multiplexed pilots in a two-step algorithm; first, a coarse estimation of the CFO is made and subsequently a fine estimation is carried out. In the case of implicit training (training sequence superimposed onto data), CFO estimation and compensation was studied in [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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Channel and carrier frequency offset estimation based on projection onto a bidimensional basis

Carrasco-Alvarez¹,

Parra-Michel²,

Orozco-Lugo³

et al. 2019

Turk J Elec Eng & Comp Sci

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Two of the most counterproductive effects that must be dealt with in communication systems in realistic environments are carrier frequency offset (CFO) and time-varying channels. These problems are usually addressed by using independent approaches for each one. This paper introduces an algorithm that attacks both of these effects in a joint fashion. It is based on a rough compensation of CFO, and after considering that the remaining CFO uncertainty can be seen as part of the time-varying channel a channel estimation that includes that composite channel is performed. Particularly, the channel estimation based on projection onto a bidimensional basis is shown to be adequate to perform this process. The approach suggested in this paper is illustrated for a superimposed training-based communication system. Simulation results corroborate the validity of the proposed algorithm, where the performance obtained is similar to that achieved for the time-varying channel estimators based on bidimensional basis projection when no CFO is present.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Simulation Resultsmentioning

confidence: 99%

Section: Cfo and Channel Estimation Based On A Bidimensional Basismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Channel and carrier frequency offset estimation based on projection onto a bidimensional basis

Carrasco-Alvarez¹,

Parra-Michel²,

Orozco-Lugo³

et al. 2019

Turk J Elec Eng & Comp Sci

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show abstract

“…Due to the lack of perfect oscillators and because of Doppler shifts, receivers in practical pass-band systems always experiment a carry frequency offset [8]. Among the mathematical operations found in a DDST-based digital communications receiver, CFO estimation has the more complex of all, both in time and resource usage.…”

Section: Carry Frequency Offset (Cfo) Estimation and Correctionmentioning

confidence: 99%

A System on a Programmable Chip Architecture for Data‐Dependent Superimposed Training Channel Estimation

Campo

Cumplido

Perez-Andrade

et al. 2009

International Journal of Reconfigurable Computing

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Channel estimation in wireless communication systems is usually accomplished by inserting, along with the information, a series of known symbols, whose analysis is used to define the parameters of the filters that remove the distortion of the data. Nevertheless, a part of the available bandwidth has to be destined to these symbols. Until now, no alternative solution has demonstrated to be fully satisfying for commercial use, but one technique that looks promising is superimposed training (ST). This work describes a hybrid software-hardware FPGA implementation of a recent algorithm that belongs to the ST family, known as Datadependent Superimposed Training (DDST), which does not need extra bandwidth for its training sequences (TS) as it adds them arithmetically to the data. DDST also adds a third sequence known as data-dependent sequence, that destroys the interference caused by the data over the TS. As DDST's computational burden is too high for the commercial processors used in mobile systems, a System on a Programmable Chip (SOPC) approach is used in order to solve the problem.

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Implicit Training and Array Processing for Digital Communication Systems

Haykin

Liu

2010

Handbook on Array Processing and Sensor Networks

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Frequency Offset Estimation and Compensation Using Superimposed Training

Cited by 3 publications

References 10 publications

Channel and carrier frequency offset estimation based on projection onto a bidimensional basis

Channel and carrier frequency offset estimation based on projection onto a bidimensional basis

A System on a Programmable Chip Architecture for Data‐Dependent Superimposed Training Channel Estimation

Implicit Training and Array Processing for Digital Communication Systems

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