1 code implementation • 5 May 2024 • Ruxin Zheng, Shunqiao Sun, Hongshan Liu, Honglei Chen, Mojtaba Soltanalian, Jian Li
Recent advancements in Deep Learning (DL) for Direction of Arrival (DOA) estimation have highlighted its superiority over traditional methods, offering faster inference, enhanced super-resolution, and robust performance in low Signal-to-Noise Ratio (SNR) environments.
no code implementations • 14 Sep 2023 • Ruxin Zheng, Shunqiao Sun, Hongshan Liu, Honglei Chen, Jian Li
We introduce an interpretable deep learning approach for direction of arrival (DOA) estimation with a single snapshot.
no code implementations • 1 Nov 2021 • Ruxin Zheng, Shunqiao Sun, David Scharff, Teresa Wu
We present a multi-input multi-output (MIMO) radar transmit and receive signal processing chain, a knowledge-aided approach exploiting the radar domain knowledge and signal structure, to generate high resolution radar range-azimuth spectra for object detection and classification using deep neural networks.