A Simple Variational Bayes Detector for Orthogonal Time Frequency Space (OTFS) Modulation
November 28, 2019 Β· Declared Dead Β· π IEEE Transactions on Vehicular Technology
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Authors
Weijie Yuan, Zhiqiang Wei, Jinhong Yuan, Derrick Wing Kwan Ng
arXiv ID
1911.12538
Category
eess.SP: Signal Processing
Cross-listed
cs.IT
Citations
196
Venue
IEEE Transactions on Vehicular Technology
Last Checked
4 months ago
Abstract
The emerging orthogonal time frequency space (OTFS) modulation technique has shown its superiority to the current orthogonal frequency division multiplexing (OFDM) scheme, in terms of its capabilities of exploiting full time-frequency diversity and coping with channel dynamics. The optimal maximum a posteriori (MAP) detection is capable of eliminating the negative impacts of the inter-symbol interference in the delay-Doppler (DD) domain at the expense of a prohibitively high complexity. To reduce the receiver complexity for OTFS scheme, this paper proposes a variational Bayes (VB) approach as an approximation of the optimal MAP detection. Compared to the widely used message passing algorithm, we prove that the proposed iterative algorithm is guaranteed to converge to the global optimum of the approximated MAP detector regardless the resulting factor graph is loopy or not. Simulation results validate the fast convergence of the proposed VB receiver and also show its promising performance gain compared to the conventional message passing algorithm.
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