Performance analysis of adaptive DFE using set-membership binormalized data-reusing LMS algorithm for frequency selective MIMO channels

• Published in: International journal of electronics and communications Vol. 77; pp. 91 - 99
• Main Authors: Mishra, Ramesh Chandra, Bhattacharjee, Ratnajit
• Format: Journal Article
• Language: English
• Published: Elsevier GmbH 01.07.2017
• Subjects: Binormalized data-reusing least mean square; Data-selective; Decision feedback equalizer; Multiple-input multiple-output systems; Binormalized data-reusing least mean square; Multiple-input multiple-output systems; Data-selective; Decision feedback equalizer
• ISSN: 1434-8411; 1618-0399
• DOI: 10.1016/j.aeue.2017.04.018

This paper addresses the concern of complexity involved with adaptive equalization in wireless systems operating over time-varying and frequency selective multiple-input multiple-output (MIMO) channels. Here, we propose a decision feedback equalizer using binormalized data-reusing least mean square (BNLMS) algorithm with set-membership filtering for MIMO channels. The performance of the equalizer is investigated for a MIMO receiver in a multi-path fading environment as experienced in the indoor and pedestrian environment. The equalizer performance is also studied for channels having higher delay and Doppler spread. The convergence issues, BER performance and tracking capabilities are examined through computer simulations. Moreover, the computational complexity issue for this MIMO equalizer is compared with other existing data-selective algorithm based techniques.