With the rise of sixth-generation wireless systems, Integrated Sensing and Communication (ISAC) increasingly adopts MU-MIMO-OFDM for four-dimensional joint parameter estimation. However, existing approaches face two key challenges: the computational complexity of super-resolution grows rapidly with grid refinement, and...
Zi-Yi Song, Lin Ma, Dan-Yang Qin et al.· IEEE Transactions on Wireles...· 0 citations
Recent studies have revealed that not only does the correspondence between spectral winding numbers and skin modes break down in non-Hermitian systems, but the energy spectrum itself is highly sensitive to generic perturbations, system size, and boundary conditions. In amorphous non-Hermitian systems, where the positio...
Xue-min Yang, Mu Zhou, Deng-Feng Li et al.· 0 citations
Deep learning (DL) has shown significant potential in device-free gesture recognition (DFGR), enabling contactless device control and intuitive human–robot interaction. However, DL-based methods usually require a large number of labeled samples for training. Since the collection of annotations for radar signals is time...
Chao Fang, Yong Wang, Mu Zhou et al.· IEEE Transactions on Automat...· 0 citations
We investigate chiral transfer and dissipative generation of even-parity Bell states in a two-qubit system with coherent two-photon driving and engineered two-photon loss. We find that adiabatic encirclement of a second-order exceptional point induces direction-dependent transfer between the Bell states $|\Phi^+\rangle...
Lin Xiao, Jian Li, Mu Zhou et al.· Physical Review A· 0 citations
With the advancement of Internet of Things (IoT) technologies, the demand for accurate indoor positioning is increasing. Existing methods perform well in line-of-sight (LoS) conditions but suffer in non-line-of-sight (NLoS) conditions due to signal reflections and obstructions. To address this challenge, this paper pre...
Liang-Bo Xie, Meng-Ran Yang, Hui-Li Yin et al.· IEEE Transactions on Green C...· 0 citations
Accurate, real-time motion forecasting is crucial for safe operation of autonomous vehicles. State-space models, such as Mamba, can model long-range dependencies with linear computational complexity, reducing sequence modeling overhead. However, Mamba-based motion forecasting methods still rely on Transformer-style dec...
Jianhang Liu, Ang Liu, Mu Zhou et al.· IEEE Transactions on Automat...· 0 citations
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