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A new layered space--time detection algorithm for frequency selective fading multiple-input multiple-output channels based on particle filter
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In this paper, a new observation equation of non-Gaussian frequency
selective fading Bell Labs layered space time (BLAST) architecture
system is proposed, which is used for frequency selective fading
channels and non-Gaussian noise in an application environment of
BLAST system. With othogonal matrix triangularization (QR
decomposition) of the channel matrix, the static observation
equation of frequency selective fading BLAST system is transformed
into a dynamic state space model, and then the particle filter is
used for space--time layered detection. Making the full use of the
finite alphabet of the digital modulation communication signal, the
optimal proposal distribution can be chosen to produce particle and
update the weight. Incorporated with current method of reducing
error propagation, a new space--time layered detection algorithm is
proposed. Simulation result shows the validity of the proposed
algorithm. 相似文献
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