3 papers
eess.SY2025
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…
eess.SP2025
A Game-Theoretic Approach for High-Resolution Automotive FMCW Radar Interference Avoidance
Yunian Pan, Jun Li, Lifan Xu +2
Nonlinear frequency hopping has emerged as a promising approach for mitigating interference and enhancing range resolution in automotive FMCW radar systems. Achieving an optimal ba…
eess.SP2024
Enhanced Automotive Radar Collaborative Sensing By Exploiting Constructive Interference
Lifan Xu, Shunqiao Sun, A. Lee Swindlehurst
Automotive radar emerges as a crucial sensor for autonomous vehicle perception. As more cars are equipped radars, radar interference is an unavoidable challenge. Unlike conventiona…