TransDetector: A Transformer-Based Detector for Underwater Acoustic Differential OFDM Communications
Yuzhou Li, Sixiang Wang, Di Liu, Chuang Zhou

TL;DR
This paper introduces TransDetector, a novel Transformer-based detector for underwater acoustic DOFDM communications that effectively mitigates ICI and noise without requiring pilots, outperforming classical algorithms and previous neural network detectors.
Contribution
The paper proposes three innovative Transformer modifications—inter-encoder attention, auto-perception denoising, and trapezoidal positional encoding—for improved underwater signal detection.
Findings
TransDetector significantly reduces BER and MSE compared to classical algorithms.
It outperforms DNNDetector and PS-FFT in realistic underwater channels.
Achieves up to 47.44% BER reduction at 20 dB SNR.
Abstract
Inter-carrier interference (ICI) and noise mitigation is crucial for precise signal detection in underwater acoustic (UWA) differential orthogonal frequency division multiplexing (DOFDM) communication systems. In this paper, we adopt the Transformer to design a detector, referred to as the TransDetector, which can dramatically mitigate ICI implicitly and noise explicitly, even without requiring any pilot. Compared with the standard Transformer, we come up with three creative designs. Firstly, we break the inner-encoder computation paradigm of the multi-head attention (MHA) in the standard Transformer, and design a brand new inter-encoder attention mechanism, referred to as the interactive MHA, which can significantly improve the performance, as well as accelerate the convergence rate. Secondly, to reduce the noise component attached to the received signal, we design an auto-perception…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsUnderwater Acoustics Research · Underwater Vehicles and Communication Systems · Speech and Audio Processing
