Space-time fading channel estimation and symbol detection in unknown spatially correlated noise

Aleksandar Dogandžić; Arye Nehorai

doi:10.1109/78.984711

Space-time fading channel estimation and symbol detection in unknown spatially correlated noise

Aleksandar Dogandžić
, Arye Nehorai

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

30 Scopus citations

Abstract

We present maximum likelihood (ML) methods for space-time fading channel estimation with an antenna array in spatially correlated noise having unknown covariance; the results are applied to symbol detection. The received signal is modeled as a linear combination of multipath-delayed and Doppler-shifted copies of the transmitted waveform. We consider structured and unstructured array response models and derive the Cramér-Rao bound (CRB) for the unknown directions of arrival, time delays, and Doppler shifts. We also develop methods for spatial and temporal interference suppression. Finally, we propose coherent matched-filter and concentrated-likelihood receivers that account for the spatial noise covariance and analyze their performance.

Original language	English
Pages (from-to)	457-474
Number of pages	18
Journal	IEEE Transactions on Signal Processing
Volume	50
Issue number	3
DOIs	https://doi.org/10.1109/78.984711
State	Published - Mar 2002

Keywords

Array processing
Coherent matched-filter detection
Noncoherent detection
Time-varying channel estimation

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10.1109/78.984711

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title = "Space-time fading channel estimation and symbol detection in unknown spatially correlated noise",

abstract = "We present maximum likelihood (ML) methods for space-time fading channel estimation with an antenna array in spatially correlated noise having unknown covariance; the results are applied to symbol detection. The received signal is modeled as a linear combination of multipath-delayed and Doppler-shifted copies of the transmitted waveform. We consider structured and unstructured array response models and derive the Cram{\'e}r-Rao bound (CRB) for the unknown directions of arrival, time delays, and Doppler shifts. We also develop methods for spatial and temporal interference suppression. Finally, we propose coherent matched-filter and concentrated-likelihood receivers that account for the spatial noise covariance and analyze their performance.",

keywords = "Array processing, Coherent matched-filter detection, Noncoherent detection, Time-varying channel estimation",

author = "Aleksandar Dogand{\v z}i{\'c} and Arye Nehorai",

note = "Funding Information: Manuscript received August 25, 2000; revised October 29, 2001. This work was supported by the Air Force Office of Scientific Research under Grants F49620-99-1-0067 and F49620-00-1-0083, the National Science Foundation under Grant CCR-0105334, and the Office of Naval Research under Grant N00014-01-1-0681. The associate editor coordinating the review of this paper and approving it for publication was Dr. Olivier Besson.",

year = "2002",

month = mar,

doi = "10.1109/78.984711",

language = "English",

volume = "50",

pages = "457--474",

journal = "IEEE Transactions on Signal Processing",

issn = "1053-587X",

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T1 - Space-time fading channel estimation and symbol detection in unknown spatially correlated noise

AU - Dogandžić, Aleksandar

AU - Nehorai, Arye

N1 - Funding Information: Manuscript received August 25, 2000; revised October 29, 2001. This work was supported by the Air Force Office of Scientific Research under Grants F49620-99-1-0067 and F49620-00-1-0083, the National Science Foundation under Grant CCR-0105334, and the Office of Naval Research under Grant N00014-01-1-0681. The associate editor coordinating the review of this paper and approving it for publication was Dr. Olivier Besson.

PY - 2002/3

Y1 - 2002/3

N2 - We present maximum likelihood (ML) methods for space-time fading channel estimation with an antenna array in spatially correlated noise having unknown covariance; the results are applied to symbol detection. The received signal is modeled as a linear combination of multipath-delayed and Doppler-shifted copies of the transmitted waveform. We consider structured and unstructured array response models and derive the Cramér-Rao bound (CRB) for the unknown directions of arrival, time delays, and Doppler shifts. We also develop methods for spatial and temporal interference suppression. Finally, we propose coherent matched-filter and concentrated-likelihood receivers that account for the spatial noise covariance and analyze their performance.

AB - We present maximum likelihood (ML) methods for space-time fading channel estimation with an antenna array in spatially correlated noise having unknown covariance; the results are applied to symbol detection. The received signal is modeled as a linear combination of multipath-delayed and Doppler-shifted copies of the transmitted waveform. We consider structured and unstructured array response models and derive the Cramér-Rao bound (CRB) for the unknown directions of arrival, time delays, and Doppler shifts. We also develop methods for spatial and temporal interference suppression. Finally, we propose coherent matched-filter and concentrated-likelihood receivers that account for the spatial noise covariance and analyze their performance.

KW - Array processing

KW - Coherent matched-filter detection

KW - Noncoherent detection

KW - Time-varying channel estimation

UR - https://www.scopus.com/pages/publications/0036503706

U2 - 10.1109/78.984711

DO - 10.1109/78.984711

M3 - Article

AN - SCOPUS:0036503706

SN - 1053-587X

VL - 50

SP - 457

EP - 474

JO - IEEE Transactions on Signal Processing

JF - IEEE Transactions on Signal Processing

IS - 3

ER -

Space-time fading channel estimation and symbol detection in unknown spatially correlated noise

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Keywords

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