TY - JOUR
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 -