TY - GEN
T1 - Robust turbo equalization - A minimax perspective
AU - Nisar, Muhammad Danish
AU - Utschick, Wolfgang
PY - 2010
Y1 - 2010
N2 - The linear equalization based turbo detection schemes often employ the conventional linear equalizers inherently designed under the assumption of perfect channel knowledge. In practical systems, where the knowledge of channel and the knowledge of interference correlations is available only as estimates, the use of such equalizers may lead to an uncontrolled degradation in system performance. In this work, we focus on the design of a priori information aware channel equalizer under the presence of an uncertainty about the channel knowledge and the knowledge of interference plus noise correlations. To this end, we pursue a minimax optimization procedure to design the equalizer such that it otTers the best worst-case performance. We study the performance of the proposed minimax robust equalizer in comparison to the conventional equalizer, and analyze its convergence behavior, as a building block of the turbo equalization system, via EXIT charts.
AB - The linear equalization based turbo detection schemes often employ the conventional linear equalizers inherently designed under the assumption of perfect channel knowledge. In practical systems, where the knowledge of channel and the knowledge of interference correlations is available only as estimates, the use of such equalizers may lead to an uncontrolled degradation in system performance. In this work, we focus on the design of a priori information aware channel equalizer under the presence of an uncertainty about the channel knowledge and the knowledge of interference plus noise correlations. To this end, we pursue a minimax optimization procedure to design the equalizer such that it otTers the best worst-case performance. We study the performance of the proposed minimax robust equalizer in comparison to the conventional equalizer, and analyze its convergence behavior, as a building block of the turbo equalization system, via EXIT charts.
UR - http://www.scopus.com/inward/record.url?scp=78649262560&partnerID=8YFLogxK
U2 - 10.1109/ISTC.2010.5613876
DO - 10.1109/ISTC.2010.5613876
M3 - Conference contribution
AN - SCOPUS:78649262560
SN - 9781424467457
T3 - 6th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2010
SP - 379
EP - 383
BT - 6th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2010
T2 - 6th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2010
Y2 - 6 September 2010 through 10 September 2010
ER -