Title :
A novel blind adaptive receiver for MIMO-OFDM systems
Author :
Balasingam, Balakumar ; Bolic, Miodrag
Author_Institution :
Sch. of Inf. Technol. & Eng., Univ. of Ottawa, Ottawa, ON, Canada
Abstract :
In this paper a novel blind adaptive decoding algorithm based on marginalized particle filter (MPF) method is developed for multipleinput 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.
Keywords :
MIMO communication; OFDM modulation; adaptive decoding; adaptive signal processing; blind source separation; computational complexity; discrete Fourier transforms; particle filtering (numerical methods); radio receivers; wireless channels; MIMO-OFDM systems; blind adaptive decoding algorithm; blind adaptive receiver; blind channel detection; computational complexity; discrete Fourier transform; marginalized particle filter method; Block codes; Channel estimation; Computational modeling; Decoding; Discrete Fourier transforms; MIMO; Particle filters; Receiving antennas; Transmitters; Transmitting antennas; Kalman filter; MIMO-OFDM systems; Marginalized particle filters; OSTBC; Sequential Monte-Carlo methods;
Conference_Titel :
Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on
Conference_Location :
Cardiff
Print_ISBN :
978-1-4244-2709-3
Electronic_ISBN :
978-1-4244-2711-6
DOI :
10.1109/SSP.2009.5278527
