Eigenvector algorithm for blind equalization

Jelonnek, B.; Kammeyer, Karl‐Dirk

doi:10.1109/host.1993.264605

Cited by 9 publications

(3 citation statements)

References 4 publications

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“…The modulation we have used is BPSK. For our method we have selected ψ = E z 4 i (k) using 55 FIR filters in "Span Mode" and comparison was made with the EVI [9], [10] method.…”

Section: Simulations and Resultsmentioning

confidence: 99%

“…In all those methods the main disadvantage is the requirement for relatively large records of samples (e.g thousands for FIR channels of five taps) to enable cumulants estimation with sufficiently low variance. The method that have the best performance, at least to our knowledge, when using relatively short records of samples (hundreds when other methods require thousands) is the EVI method [9] [10] to which we will compare our new method.…”

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confidence: 99%

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A reliable method for blind channel identification using burst data

Raphaeli

Suissa

2003

Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.

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Abstract-In this paper we present a new approach for blind identification of Single Input Single Output (SISO) and Multiple Inputs Single Output (MISO) FIR channels with nonminimum phase. The approach is based on minimizing a cost function built of the problem unknown parameters and a vector of measurements achieved by passing the received data through a known parallel set of FIR filters followed by samples averaging. Averaging is done according to certain functions that have Higher Order Statistics (HOS) content and that their assymptotical mean can be expressed in closed form. The main advantages of this approach are its high probability of identification success when considering statistical channels, its ability to obtain reliable channel estimates in low SNR using short records of samples and its unsensitivity to overestimation of the channel order.

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“…The modulation we have used is BPSK. For our method we have selected ψ = E z 4 i (k) using 55 FIR filters in "Span Mode" and comparison was made with the EVI [9], [10] method.…”

Section: Simulations and Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

A reliable method for blind channel identification using burst data

Raphaeli

Suissa

2003

Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.

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“…The present reference frequencies are 170/204 GHz while the final operating ones will depend on the AR definition and toroidal related magnetic field and on the relevance of CD in operation, which typically requires an operation at about 1.2 times higher frequency compared to pure heating. On the other hand the availability of frequency step-tunable gyrotrons using a broadband RF output window (e. g. Brewster-angle window) which will enable the operation in steps of about 2 to 3 GHz (according to the different frequency distances of the operating modes) over an 10 to 12 GHz bandwidth will be compatible with the exploitation of a remote steering antenna concept for the launchers as presented at the EC-19 conference [7]. Equatorial (EL) and vertical (VL) launchers (without the use of switch between them) are required to deliver the RF power to the plasma through apertures into the blanket, that shall minimize the impact on Tritium Breeding Ratio (TBR).…”

Section: Introduction Physical Requirements and Design Guidelinesmentioning

confidence: 99%

Progress in conceptual design of EU DEMO EC system

et al. 2017

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Abstract.Since 2014 under the umbrella of EUROfusion Consortium the Work Package Heating and Current Drive (WPHCD) is performing the engineering design and R&D for the electron cyclotron (EC), ion cyclotron and neutral beam systems of the future fusion power plant DEMO. This presentation covers the activities performed in the last two years on the EC system conceptual design, as part of the WPHCD, focusing on launchers, transmission lines, system reliability and architecture.

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Optimal delay estimation and performance evaluation in blind equalization

Prandini

Campi

Leonardi

1997

Int. J. Adapt. Control Signal Process.

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SUMMARYThis paper deals with the problem of recovering the input signal applied to a linear time-invariant system from the measurements of its output and the a priori knowledge of the input statistics (blind equalization). Under the assumption of an i.i.d. non-Gaussian input sequence a new iterative procedure based on phase-sensitive high-order cumulants for adjusting the coefficients of a transversal equalizer is introduced. The main feature of the proposed technique is the automatic selection of the equalization delay so as to improve the equalization performance. A method for the a posteriori evaluation of the obtained accuracy in PAM systems is also introduced. It consists of the computation of an upper bound on the probability of error depending on certain moments of the equalizer output and the statistics of the channel input and therefore can be used in a blind equalization context. Based on the result of such a computation, it can be decided whether it is necessary to consider a longer equalization filter in the iterative procedure.

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Eigenvector algorithm for blind equalization

Cited by 9 publications

References 4 publications

A reliable method for blind channel identification using burst data

A reliable method for blind channel identification using burst data

Progress in conceptual design of EU DEMO EC system

Optimal delay estimation and performance evaluation in blind equalization

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