Publications by authors named "Chengliang Di"
An autonomous place recognition system is essential for scenarios where GPS is useless, such as underground tunnels. However, it is difficult to use existing algorithms to fully utilize the small number of effective features in underground tunnel data, and recognition accuracy is difficult to guarantee. In order to solve this challenge, an efficient point cloud position recognition algorithm, named Dual-Attention Transformer Network (DAT-Net), is proposed in this paper.
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- The paper discusses the challenges of Generalized Space-Time-Frequency Index Modulation (GSTFIM) systems, particularly their sensitivity to carrier frequency offset (CFO), which is a common issue in traditional orthogonal frequency-division multiplexing (OFDM).* -
- To address this, a new message passing (MP)-aided detector is proposed for GSTFIM, allowing for a customizable balance between performance and computational complexity.* -
- Through analysis and simulations, it is shown that this new MP detector can perform similarly to maximum likelihood (ML) detection in GSTFIM systems and offers improved efficiency compared to a minimum mean-square-error (MMSE)-based approach, especially in the presence of CFO.*