Title :
A decoder for low-complexity equalization of coded frequency selective MIMO channels
Author :
Sellami, Noura ; Fijalkow, Inbar
Author_Institution :
France Telecom R&D, Issy Les Moulineaux, France
Abstract :
We propose a decoder for low-complexity equalization of coded frequency selective multiple-input multiple-output channels. The decoder combines parallel decision feedback decoding (PDFD) and the list-type approach. This alternative achieves a good trade-off between performance and complexity even when the channel is not minimum phase.
Keywords :
MIMO systems; Viterbi decoding; channel capacity; computational complexity; convolutional codes; decision feedback equalisers; decoding; MIMO channels; Viterbi algorithm; channel capacity; complexity; convolutional code; decoder; frequency selective channels; list-type approach; low-complexity equalization; multiple-input multiple-output channels; parallel decision feedback decoding; Convolutional codes; Equalizers; Feedback; Frequency; MIMO; Maximum likelihood decoding; Rayleigh channels; Receiving antennas; Research and development; Transmitting antennas;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2002. The 13th IEEE International Symposium on
Print_ISBN :
0-7803-7589-0
DOI :
10.1109/PIMRC.2002.1045247
