mlsanityData to 14 Oct 2026

A Simple Variational Bayes Detector for Orthogonal Time Frequency Space (OTFS) Modulation

arXiv 1911.12538 ↗First posted 28 Nov 2019eess.SP cs.IT math.ITcited by 2

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 Nov 2019.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2022: 1; 2023: 1.

2 papers.