Analysis of a subspace channel estimation technique for multicarrier CDMA systems

Carlos J. Escudero; Daniel I. Iglesia; Monica F. Bugallo; Luis Castedo

Analysis of a subspace channel estimation technique for multicarrier CDMA systems

Carlos J. Escudero
, Daniel I. Iglesia
, Monica F. Bugallo
, Luis Castedo

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University of A Coruna

Research output: Contribution to conference › Paper › peer-review

21 Scopus citations

Abstract

In this paper we investigate a blind channel estimation method for Multi-Carrier CDMA systems that uses a subspace decomposition technique. This technique exploits the orthogonality property between the noise subspace and the received user codes to obtain a channel identification algorithm. In order to analyze the performance of this algorithm, we derived a theoretical expression of the estimation MSE using a perturbation approach. This expression is compared with the numerical results of some computer simulations to illustrate the validity of the analysis.

Original language	English
Pages	10-14
Number of pages	5
State	Published - 2000
Event	Proceedings of the 10th IEEE Workshop on Statiscal and Array Processing - Pennsylvania, PA, USA Duration: Aug 14 2000 → Aug 16 2000

Conference

Conference	Proceedings of the 10th IEEE Workshop on Statiscal and Array Processing
City	Pennsylvania, PA, USA
Period	08/14/00 → 08/16/00

Cite this

@conference{4561f8dd57204671bba60e0cb6f7306a,

title = "Analysis of a subspace channel estimation technique for multicarrier CDMA systems",

abstract = "In this paper we investigate a blind channel estimation method for Multi-Carrier CDMA systems that uses a subspace decomposition technique. This technique exploits the orthogonality property between the noise subspace and the received user codes to obtain a channel identification algorithm. In order to analyze the performance of this algorithm, we derived a theoretical expression of the estimation MSE using a perturbation approach. This expression is compared with the numerical results of some computer simulations to illustrate the validity of the analysis.",

author = "Escudero, \{Carlos J.\} and Iglesia, \{Daniel I.\} and Bugallo, \{Monica F.\} and Luis Castedo",

year = "2000",

language = "English",

pages = "10--14",

note = "Proceedings of the 10th IEEE Workshop on Statiscal and Array Processing ; Conference date: 14-08-2000 Through 16-08-2000",

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TY - CONF

T1 - Analysis of a subspace channel estimation technique for multicarrier CDMA systems

AU - Escudero, Carlos J.

AU - Iglesia, Daniel I.

AU - Bugallo, Monica F.

AU - Castedo, Luis

PY - 2000

Y1 - 2000

N2 - In this paper we investigate a blind channel estimation method for Multi-Carrier CDMA systems that uses a subspace decomposition technique. This technique exploits the orthogonality property between the noise subspace and the received user codes to obtain a channel identification algorithm. In order to analyze the performance of this algorithm, we derived a theoretical expression of the estimation MSE using a perturbation approach. This expression is compared with the numerical results of some computer simulations to illustrate the validity of the analysis.

AB - In this paper we investigate a blind channel estimation method for Multi-Carrier CDMA systems that uses a subspace decomposition technique. This technique exploits the orthogonality property between the noise subspace and the received user codes to obtain a channel identification algorithm. In order to analyze the performance of this algorithm, we derived a theoretical expression of the estimation MSE using a perturbation approach. This expression is compared with the numerical results of some computer simulations to illustrate the validity of the analysis.

UR - https://www.scopus.com/pages/publications/0033676644

M3 - Paper

AN - SCOPUS:0033676644

SP - 10

EP - 14

T2 - Proceedings of the 10th IEEE Workshop on Statiscal and Array Processing

Y2 - 14 August 2000 through 16 August 2000

ER -

Analysis of a subspace channel estimation technique for multicarrier CDMA systems

Abstract

Conference

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