no code implementations • 27 Jul 2024 • Lingyun Xu, Bowen Wang, Huiyong Li, Ziyang Cheng
This paper investigates the issue of how to exploit target location distribution for multiple input multiple output (MIMO) radar waveform design.
no code implementations • 12 Mar 2024 • Lingyun Xu, Bowen Wang, Huiyong Li, Ziyang Cheng
Additionally, the location of the radar target is also imperfectly known by the BS.
no code implementations • 19 Jan 2023 • Ziyang Cheng, Linlong Wu, Bowen Wang, Julan Xie, Huiyong Li
In the second stage, an efficient iterative algorithm based on majorization-minimization is presented to obtain the constant-envelope beamformer according to the attained transmit power.
no code implementations • 4 Nov 2020 • Tianchu Yao, Chuang Shi, Huiyong Li
In this paper, we introduce our sound events detection system using a mean-teacher model with convolutional recurrent neural network (CRNN) for DCASE 2020 Task4, which include residual convolutional block and dense recurrent neural network (DRNN) block.
no code implementations • 7 Mar 2017 • Xiansheng Guo, Nirwan Ansari, Huiyong Li
Recently, we first proposed a GrOup Of Fingerprints (GOOF) to improve the localization accuracy and reduce the burden of building fingerprints.