Maximum likelihood blind channel estimation in the presence of Doppler shifts

Hakan A. Cirpan; Michail K. Tsatsanis

doi:10.1109/78.765125

Maximum likelihood blind channel estimation in the presence of Doppler shifts

Hakan A. Cirpan
, Michail K. Tsatsanis

Stevens Institute of Technology

Araştırma sonucu: Dergiye katkı › Makale › bilirkişi

45 Atıf (Scopus)

Özet

Transmitter/receiver motion in mobile radio channels may cause frequency shifts in each received path due to Doppler effects. Most blind equalization methods, however, assume time-invariant channels and may not be applicable to fading channels with severe Doppler spread. In this paper, we address the problem of simultaneously estimating the Doppler shift and channel parameters in a blind setup. Both deterministic and stochastic maximum likelihood methods are developed and iterative solutions proposed. The stochastic maximum likelihood solution is based on the modified version of the Baum-Welch algorithm, which originated in the study of hidden Markov models. The proposed methods are well suited for short data records appearing in TDMA systems. Identifiability and performance analysis issues are discussed, and Cramer-Rao bounds are derived. In addition, some illustrative simulations are presented.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	1559-1569
Sayfa sayısı	11
Dergi	IEEE Transactions on Signal Processing
Hacim	47
Basın numarası	6
DOI'lar	https://doi.org/10.1109/78.765125
Yayın durumu	Yayınlandı - 1999
Harici olarak yayınlandı	Evet

Finansman

Manuscript received December 13, 1996; revised September 29, 1998. This work was supported by the National Science Foundation under Grant NSF-NCR 9706658 and CAREER CCR-9733048 and the Army Research Office under Grant DAAG55-98-1-0224. Part of the results of this paper were presented at the 13th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, Nov. 3–6, 1996. The associate editor coordinating the review of this paper and approving it for publication was Prof. Pierre Comon.

Finansörler	Finansör numarası
National Science Foundation	NSF-NCR 9706658, CCR-9733048
Army Research Office	DAAG55-98-1-0224

Belgeye Erişim

10.1109/78.765125

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Link to publication in Scopus

Alıntı Yap

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abstract = "Transmitter/receiver motion in mobile radio channels may cause frequency shifts in each received path due to Doppler effects. Most blind equalization methods, however, assume time-invariant channels and may not be applicable to fading channels with severe Doppler spread. In this paper, we address the problem of simultaneously estimating the Doppler shift and channel parameters in a blind setup. Both deterministic and stochastic maximum likelihood methods are developed and iterative solutions proposed. The stochastic maximum likelihood solution is based on the modified version of the Baum-Welch algorithm, which originated in the study of hidden Markov models. The proposed methods are well suited for short data records appearing in TDMA systems. Identifiability and performance analysis issues are discussed, and Cramer-Rao bounds are derived. In addition, some illustrative simulations are presented.",

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AU - Tsatsanis, Michail K.

PY - 1999

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AB - Transmitter/receiver motion in mobile radio channels may cause frequency shifts in each received path due to Doppler effects. Most blind equalization methods, however, assume time-invariant channels and may not be applicable to fading channels with severe Doppler spread. In this paper, we address the problem of simultaneously estimating the Doppler shift and channel parameters in a blind setup. Both deterministic and stochastic maximum likelihood methods are developed and iterative solutions proposed. The stochastic maximum likelihood solution is based on the modified version of the Baum-Welch algorithm, which originated in the study of hidden Markov models. The proposed methods are well suited for short data records appearing in TDMA systems. Identifiability and performance analysis issues are discussed, and Cramer-Rao bounds are derived. In addition, some illustrative simulations are presented.

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SN - 1053-587X

VL - 47

SP - 1559

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JO - IEEE Transactions on Signal Processing

JF - IEEE Transactions on Signal Processing

IS - 6

ER -

Maximum likelihood blind channel estimation in the presence of Doppler shifts

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