TY - GEN
T1 - Sparsifying dictionary analysis for FIR MIMO channel-shortening equalizers
AU - Al-Abbasi, Abubakr O.
AU - Hamila, Ridha
AU - Bajwa, Waheed U.
AU - Al-Dhahir, Naofal
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/9
Y1 - 2016/8/9
N2 - In this paper, we propose a general framework that transforms the problems of designing sparse finite-impulse response channel-shortening equalizers and target impulse response filters for multiple antenna systems into the problems of sparsest-approximation of a vector in different dictionaries. Additionally, we compare several choices of the sparsifying dictionaries in terms of the worst-case coherence metric, which determines their sparsifying effectiveness. Furthermore, a reduced complexity design approach is proposed, which is realized by exploiting the asymptotic equivalence of Toeplitz and circulant matrices. Finally, the significance of our proposed approach is demonstrated through numerical experiments.
AB - In this paper, we propose a general framework that transforms the problems of designing sparse finite-impulse response channel-shortening equalizers and target impulse response filters for multiple antenna systems into the problems of sparsest-approximation of a vector in different dictionaries. Additionally, we compare several choices of the sparsifying dictionaries in terms of the worst-case coherence metric, which determines their sparsifying effectiveness. Furthermore, a reduced complexity design approach is proposed, which is realized by exploiting the asymptotic equivalence of Toeplitz and circulant matrices. Finally, the significance of our proposed approach is demonstrated through numerical experiments.
UR - http://www.scopus.com/inward/record.url?scp=84984637788&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84984637788&partnerID=8YFLogxK
U2 - 10.1109/SPAWC.2016.7536774
DO - 10.1109/SPAWC.2016.7536774
M3 - Conference contribution
AN - SCOPUS:84984637788
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
BT - SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016
Y2 - 3 July 2016 through 6 July 2016
ER -