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

^*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Dergiye katkı › Makale › bilirkişi

36 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	449-457
Sayfa sayısı	9
Dergi	IEEE Transactions on Vehicular Technology
Hacim	55
Basın numarası	2
DOI'lar	https://doi.org/10.1109/TVT.2005.863427
Yayın durumu	Yayınlandı - Mar 2006
Harici olarak yayınlandı	Evet

Finansman

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.

Finansörler	Finansör numarası
TUBITAK	104E166
Istanbul Üniversitesi	220/29042004, UDP-599/28042005, UDP-599/28072005
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu
Sixth Framework Programme

Belgeye Erişim

10.1109/TVT.2005.863427

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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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.",

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

author = "Cirpan, \{Hakan A.\} and Erdal Panayirci and Hakan Doǧan",

year = "2006",

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T1 - Nondata-aided channel estimation for OFDM systems with space-frequency transmit diversity

AU - Cirpan, Hakan A.

AU - Panayirci, Erdal

AU - Doǧan, Hakan

PY - 2006/3

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.

KW - Expectation maximization (EM) algorithm

KW - Maximum a posteriori (MAP) channel estimation

KW - Orthogonal frequency division multiplexing (OFDM) systems

KW - Space-frequency coding

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DO - 10.1109/TVT.2005.863427

M3 - Article

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SN - 0018-9545

VL - 55

SP - 449

EP - 457

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

IS - 2

ER -

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

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