A novel blind adaptive receiver for MIMO-OFDM systems
Document Type
Conference Proceeding
Publication Date
12-25-2009
Publication Title
IEEE Workshop on Statistical Signal Processing Proceedings
First Page
505
Keywords
Kalman filter, Marginalized particle filters, MIMO-OFDM systems, OSTBC, Sequential Monte-Carlo methods
Last Page
508
Abstract
In this paper a novel blind adaptive decoding algorithm based on marginalized particle filter (MPF) method is developed for multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) communication systems. Blind channel detection requires all the sub-carriers to be considered together for better performance. This results in prohibitive computational requirements in developing an adaptive blind receiver for MIMO-OFDM systems based on the MPF algorithm. Based on a recently reported approximate blind adaptive MIMO receivers and exploiting the properties of discrete Fourier transform (DFT) we have developed a blind adaptive MIMO-OFDM receiver with affordable computational requirement. Simulation examples and an analysis of computational complexity is provided to show the effectiveness of the proposed approach. © 2009 IEEE.
DOI
10.1109/SSP.2009.5278527
ISBN
9781424427109
Recommended Citation
Balasingam, Balakumar and Bolic, Miodrag. (2009). A novel blind adaptive receiver for MIMO-OFDM systems. IEEE Workshop on Statistical Signal Processing Proceedings, 505-508.
https://scholar.uwindsor.ca/computersciencepub/167