JOURNAL ARTICLE

MCMC Based Bit-wise Detection for OTFS Modulation with Complexity Reduction

Bowen WangZheng JiangShan YangJianchi ZhuXiaoming ShePeng Chen

Year: 2022 Journal:   2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pages: 48-52

Abstract

The orthogonal time frequency space (OTFS) modulation as a promising signal representation attracts growing attention for integrated sensing and communication. This paper devotes to signal detection for OTFS system. Notice the characteristics of high dimension and sparsity of OTFS channel, we propose a bit-wise detector based on Markov Chain Monte Carlo (MCMC) method with reduced complexity. We simplify the Gibbs iteration process since the channel sparsity indicates that for a given transmitted symbol, only limited received symbols are associated with it, and vice versa. Simulations in various cases demonstrate the feasibility of the proposed algorithm.

Keywords:
Computer science Algorithm Markov chain Monte Carlo Reduction (mathematics) Detector SIGNAL (programming language) Modulation (music) Channel (broadcasting) Dimension (graph theory) Computational complexity theory Theoretical computer science Artificial intelligence Mathematics Telecommunications Bayesian probability

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Topics

PAPR reduction in OFDM
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Blind Source Separation Techniques
Physical Sciences →  Computer Science →  Signal Processing

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