Nondata-aided channel estimation for OFDM systems with space-frequency transmit diversity

Hakan A. Cirpan; Erdal Panayirci; Hakan Doǧan

doi:10.1109/TVT.2005.863427

Nondata-aided channel estimation for OFDM systems with space-frequency transmit diversity

Hakan A. Cirpan^*, Erdal Panayirci, Hakan Doǧan

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

36 Citations (Scopus)

Abstract

This paper proposes a computationally efficient nondata-aided maximum a posteriori (MAP) channel-estimation algorithm focusing on the space-frequency (SF) transmit diversity orthogonal frequency division multiplexing (OFDM) transmission through frequency-selective channels. The proposed algorithm properly averages out the data sequence and requires a convenient representation of the discrete multipath fading channel based on the Karhunen-Loeve (KL) orthogonal expansion and estimates the complex channel parameters of each subcarrier iteratively, using the expectation maximization (EM) method. To further reduce the computational complexity of the proposed MAP algorithm, the optimal truncation property of the KL expansion is exploited. The performance of the MAP channel estimator is studied based on the evaluation of the modified Cramer-Rao bound (CRB). Simulation results confirm the proposed theoretical analysis and illustrate that the proposed algorithm is capable of tracking fast fading and improving overall performance.

Original language	English
Pages (from-to)	449-457
Number of pages	9
Journal	IEEE Transactions on Vehicular Technology
Volume	55
Issue number	2
DOIs	https://doi.org/10.1109/TVT.2005.863427
Publication status	Published - Mar 2006
Externally published	Yes

Funding

Manuscript received August 8, 2003; revised June 17, 2004 and August 2, 2005. This work was conducted within the NEWCOM Network of Excellence in Wireless COMmunications funded through the EC Sixth Framework Programme and was supported in part by the Research Fund of Istanbul University under Projects 220/29042004, UDP-599/28042005, and UDP-599/28072005, and The Scientific and Technological Research Council of Turkey (TUBITAK) under Grant 104E166. The review of this paper was coordinated by Dr. E. Larsson.

Funders	Funder number
TUBITAK	104E166
Istanbul Üniversitesi	220/29042004, UDP-599/28042005, UDP-599/28072005
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu
Sixth Framework Programme

Keywords

Expectation maximization (EM) algorithm
Maximum a posteriori (MAP) channel estimation
Orthogonal frequency division multiplexing (OFDM) systems
Space-frequency coding

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10.1109/TVT.2005.863427

Cite this

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abstract = "This paper proposes a computationally efficient nondata-aided maximum a posteriori (MAP) channel-estimation algorithm focusing on the space-frequency (SF) transmit diversity orthogonal frequency division multiplexing (OFDM) transmission through frequency-selective channels. The proposed algorithm properly averages out the data sequence and requires a convenient representation of the discrete multipath fading channel based on the Karhunen-Loeve (KL) orthogonal expansion and estimates the complex channel parameters of each subcarrier iteratively, using the expectation maximization (EM) method. To further reduce the computational complexity of the proposed MAP algorithm, the optimal truncation property of the KL expansion is exploited. The performance of the MAP channel estimator is studied based on the evaluation of the modified Cramer-Rao bound (CRB). Simulation results confirm the proposed theoretical analysis and illustrate that the proposed algorithm is capable of tracking fast fading and improving overall performance.",

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AU - Cirpan, Hakan A.

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AU - Doǧan, Hakan

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Y1 - 2006/3

N2 - This paper proposes a computationally efficient nondata-aided maximum a posteriori (MAP) channel-estimation algorithm focusing on the space-frequency (SF) transmit diversity orthogonal frequency division multiplexing (OFDM) transmission through frequency-selective channels. The proposed algorithm properly averages out the data sequence and requires a convenient representation of the discrete multipath fading channel based on the Karhunen-Loeve (KL) orthogonal expansion and estimates the complex channel parameters of each subcarrier iteratively, using the expectation maximization (EM) method. To further reduce the computational complexity of the proposed MAP algorithm, the optimal truncation property of the KL expansion is exploited. The performance of the MAP channel estimator is studied based on the evaluation of the modified Cramer-Rao bound (CRB). Simulation results confirm the proposed theoretical analysis and illustrate that the proposed algorithm is capable of tracking fast fading and improving overall performance.

AB - This paper proposes a computationally efficient nondata-aided maximum a posteriori (MAP) channel-estimation algorithm focusing on the space-frequency (SF) transmit diversity orthogonal frequency division multiplexing (OFDM) transmission through frequency-selective channels. The proposed algorithm properly averages out the data sequence and requires a convenient representation of the discrete multipath fading channel based on the Karhunen-Loeve (KL) orthogonal expansion and estimates the complex channel parameters of each subcarrier iteratively, using the expectation maximization (EM) method. To further reduce the computational complexity of the proposed MAP algorithm, the optimal truncation property of the KL expansion is exploited. The performance of the MAP channel estimator is studied based on the evaluation of the modified Cramer-Rao bound (CRB). Simulation results confirm the proposed theoretical analysis and illustrate that the proposed algorithm is capable of tracking fast fading and improving overall performance.

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Nondata-aided channel estimation for OFDM systems with space-frequency transmit diversity

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Keywords

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