Blind multipath parameters estimation with an unknown pulse shape filter

L. Perros-Meilhac; E. Moulines

Blind multipath parameters estimation with an unknown pulse shape filter

L. Perros-Meilhac
, E. Moulines

CNRS

Résultats de recherche: Contribution à un journal › Article de conférence › Revue par des pairs

3 Citations (Scopus)

Résumé

A fully blind algorithm was proposed to estimate the multipath parameters of a specular transmmission channel. The proposed algorithm was compared with the pulse knowledge based parametric subspace method assuming a raised-cosine with roll-off factor 0.25. A number of Monte Carlo simulations were performed to investigate the performance of the proposed algorithm as a function the bandwidth of the pulse shape filter. The results showed that the estimation is achieved without a training sequence, prior knowledge of the pulse shape filter and array calibration information.

langue originale	Anglais
Pages (de - à)	851-855
Nombre de pages	5
journal	Conference Record of the Asilomar Conference on Signals, Systems and Computers
Volume	2
état	Publié - 1 déc. 2000
Evénement	34th Asilomar Conference - Pacific Grove, CA, États-Unis Durée: 29 oct. 2000 → 1 nov. 2000

Contient cette citation

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title = "Blind multipath parameters estimation with an unknown pulse shape filter",

abstract = "A fully blind algorithm was proposed to estimate the multipath parameters of a specular transmmission channel. The proposed algorithm was compared with the pulse knowledge based parametric subspace method assuming a raised-cosine with roll-off factor 0.25. A number of Monte Carlo simulations were performed to investigate the performance of the proposed algorithm as a function the bandwidth of the pulse shape filter. The results showed that the estimation is achieved without a training sequence, prior knowledge of the pulse shape filter and array calibration information.",

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T1 - Blind multipath parameters estimation with an unknown pulse shape filter

AU - Perros-Meilhac, L.

AU - Moulines, E.

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N2 - A fully blind algorithm was proposed to estimate the multipath parameters of a specular transmmission channel. The proposed algorithm was compared with the pulse knowledge based parametric subspace method assuming a raised-cosine with roll-off factor 0.25. A number of Monte Carlo simulations were performed to investigate the performance of the proposed algorithm as a function the bandwidth of the pulse shape filter. The results showed that the estimation is achieved without a training sequence, prior knowledge of the pulse shape filter and array calibration information.

AB - A fully blind algorithm was proposed to estimate the multipath parameters of a specular transmmission channel. The proposed algorithm was compared with the pulse knowledge based parametric subspace method assuming a raised-cosine with roll-off factor 0.25. A number of Monte Carlo simulations were performed to investigate the performance of the proposed algorithm as a function the bandwidth of the pulse shape filter. The results showed that the estimation is achieved without a training sequence, prior knowledge of the pulse shape filter and array calibration information.

M3 - Conference article

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SN - 1058-6393

VL - 2

SP - 851

EP - 855

JO - Conference Record of the Asilomar Conference on Signals, Systems and Computers

JF - Conference Record of the Asilomar Conference on Signals, Systems and Computers

T2 - 34th Asilomar Conference

Y2 - 29 October 2000 through 1 November 2000

ER -

Blind multipath parameters estimation with an unknown pulse shape filter

Résumé

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