TY - GEN
T1 - Efficient collaborative sparse channel estimation in massive MIMO
AU - Masood, Mudassir
AU - Afify, Laila H.
AU - Al-Naffouri, Tareq Y.
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2015/8/12
Y1 - 2015/8/12
N2 - We propose a method for estimation of sparse frequency selective channels within MIMO-OFDM systems. These channels are independently sparse and share a common support. The method estimates the impulse response for each channel observed by the antennas at the receiver. Estimation is performed in a coordinated manner by sharing minimal information among neighboring antennas to achieve results better than many contemporary methods. Simulations demonstrate the superior performance of the proposed method.
AB - We propose a method for estimation of sparse frequency selective channels within MIMO-OFDM systems. These channels are independently sparse and share a common support. The method estimates the impulse response for each channel observed by the antennas at the receiver. Estimation is performed in a coordinated manner by sharing minimal information among neighboring antennas to achieve results better than many contemporary methods. Simulations demonstrate the superior performance of the proposed method.
UR - http://hdl.handle.net/10754/622540
UR - http://ieeexplore.ieee.org/document/7178506/
UR - http://www.scopus.com/inward/record.url?scp=84946066667&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2015.7178506
DO - 10.1109/ICASSP.2015.7178506
M3 - Conference contribution
SN - 9781467369978
SP - 2924
EP - 2928
BT - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -