TY - GEN
T1 - Adaptive sparse channel estimation for time-variant MIMO-OFDM systems
AU - Gui, Guan
AU - Adachi, Fumiyuki
PY - 2013
Y1 - 2013
N2 - Accurate channel state information (CSI) is required for coherent detection in time-variant multiple-input multiple-output (MIMO) communication systems using orthogonal frequency division multiplexing (OFDM) modulation. One of low-complexity and stable adaptive channel estimation (ACE) approaches is the normalized least mean square (NLMS)-based ACE. However, it cannot exploit the inherent sparsity of MIMO channel which is characterized by a few dominant channel taps. In this paper, we propose two adaptive sparse channel estimation (ASCE) methods to take advantage of such sparse structure information for time-variant MIMO-OFDM systems. Unlike traditional NLMS-based method, two proposed methods are implemented by introducing sparse penalties to the cost function of NLMS algorithm. Computer simulations confirm obvious performance advantages of the proposed ASCEs over the traditional ACE.
AB - Accurate channel state information (CSI) is required for coherent detection in time-variant multiple-input multiple-output (MIMO) communication systems using orthogonal frequency division multiplexing (OFDM) modulation. One of low-complexity and stable adaptive channel estimation (ACE) approaches is the normalized least mean square (NLMS)-based ACE. However, it cannot exploit the inherent sparsity of MIMO channel which is characterized by a few dominant channel taps. In this paper, we propose two adaptive sparse channel estimation (ASCE) methods to take advantage of such sparse structure information for time-variant MIMO-OFDM systems. Unlike traditional NLMS-based method, two proposed methods are implemented by introducing sparse penalties to the cost function of NLMS algorithm. Computer simulations confirm obvious performance advantages of the proposed ASCEs over the traditional ACE.
KW - Adaptive sparse channel estimation (ASCE)
KW - L -norm NLMS
KW - L-norm NLMS
KW - Normalized least mean square (NLMS)
UR - http://www.scopus.com/inward/record.url?scp=84883723094&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883723094&partnerID=8YFLogxK
U2 - 10.1109/IWCMC.2013.6583673
DO - 10.1109/IWCMC.2013.6583673
M3 - Conference contribution
AN - SCOPUS:84883723094
SN - 9781467324793
T3 - 2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013
SP - 878
EP - 883
BT - 2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013
T2 - 2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013
Y2 - 1 July 2013 through 5 July 2013
ER -