TY - GEN
T1 - Effective VLSI architecture for Compressed Sensing based channel estimation in ISDB-T system
AU - Ferdian, Rian
AU - Hou, Yafei
AU - Okada, Minoru
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/4/22
Y1 - 2016/4/22
N2 - Compressed Sensing (CS) based channel estimation has been proven to give a better reconstruction results compared to conventional method. Despite promising a better result, CS based channel estimation still suffers from high complexity computations due to huge matrix multiplication and matrix inversion operations. This paper will propose an effective CS based channel estimation VLSI architecture for ISDB-T system. Since ISDB-T system is using orthogonal frequency division multiplexing (OFDM) technique for its transmission, its CS channel estimation will utilize a measurement matrix which is formed by parts of Discrete Fourier Transform (DFT) matrix. By exploiting the fact that the measurement matrix will inherit some symmetrical properties from DFT matrix, we can achieve a low complexity CS based channel estimation for practical implementation.
AB - Compressed Sensing (CS) based channel estimation has been proven to give a better reconstruction results compared to conventional method. Despite promising a better result, CS based channel estimation still suffers from high complexity computations due to huge matrix multiplication and matrix inversion operations. This paper will propose an effective CS based channel estimation VLSI architecture for ISDB-T system. Since ISDB-T system is using orthogonal frequency division multiplexing (OFDM) technique for its transmission, its CS channel estimation will utilize a measurement matrix which is formed by parts of Discrete Fourier Transform (DFT) matrix. By exploiting the fact that the measurement matrix will inherit some symmetrical properties from DFT matrix, we can achieve a low complexity CS based channel estimation for practical implementation.
UR - http://www.scopus.com/inward/record.url?scp=84978967682&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84978967682&partnerID=8YFLogxK
U2 - 10.1109/ISCIT.2015.7458360
DO - 10.1109/ISCIT.2015.7458360
M3 - Conference contribution
AN - SCOPUS:84978967682
T3 - 2015 15th International Symposium on Communications and Information Technologies, ISCIT 2015
SP - 273
EP - 276
BT - 2015 15th International Symposium on Communications and Information Technologies, ISCIT 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Symposium on Communications and Information Technologies, ISCIT 2015
Y2 - 7 October 2015 through 9 October 2015
ER -