2 citations · 2 across the 6 of their papers we have counts for
7 papers
Decentralized No-Regret Frequency-Time Scheduling for FMCW Radar Interference Avoidance
Yunian Pan, Jun Li, Lifan Xu +2
Automotive FMCW radars are indispensable to modern ADAS and autonomous-driving systems, but their increasing density has intensified the risk of mutual interference. Existing mitig…
Single-Snapshot Localization Using Sparse Extremely Large Aperture Arrays
Yunqiao Hu, Xuesu Xiao, Steven Jones +1
This paper investigates single-snapshot direction-of-arrival (DOA) estimation and target localization with coherent sparse extremely large aperture arrays (ELAAs) in automotive rad…
Model-Based Learning for DOA Estimation with One-Bit Single-Snapshot Sparse Arrays
Yunqiao Hu, Shunqiao Sun, Yimin D. Zhang
We address the challenging problem of estimating the directions-of-arrival (DOAs) of multiple off-grid signals using a single snapshot of one-bit quantized measurements. Convention…
Enhancing Off-Grid One-Bit DOA Estimation with Learning-Based Sparse Bayesian Approach for Non-Uniform Sparse Array
Yunqiao Hu, Shunqiao Sun, Yimin D. Zhang
This paper tackles the challenge of one-bit off-grid direction of arrival (DOA) estimation in a single snapshot scenario based on a learning-based Bayesian approach. Firstly, we fo…
Antenna Failure Resilience: Deep Learning-Enabled Robust DOA Estimation with Single Snapshot Sparse Arrays
Ruxin Zheng, Shunqiao Sun, Hongshan Liu +3
Recent advancements in Deep Learning (DL) for Direction of Arrival (DOA) estimation have highlighted its superiority over traditional methods, offering faster inference, enhanced s…
Collaborative Automotive Radar Sensing via Mixed-Precision Distributed Array Completion
Arian Eamaz, Farhang Yeganegi, Yunqiao Hu +2
This paper investigates the effects of coarse quantization with mixed precision on measurements obtained from sparse linear arrays, synthesized by a collaborative automotive radar…
Automotive Radar Sensing with Sparse Linear Arrays Using One-Bit Hankel Matrix Completion
Arian Eamaz, Farhang Yeganegi, Yunqiao Hu +2
The design of sparse linear arrays has proven instrumental in the implementation of cost-effective and efficient automotive radar systems for high-resolution imaging. This paper in…