Shunjun Wei

University of Electronic Science and Technology of China

Papers

Total Citations

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About

Shunjun Wei is a leading researcher in radar imaging and signal processing, with a focus on advancing short-range perception technologies for autonomous systems and industrial robotics. His work addresses critical challenges in high-resolution radar imaging under constrained sampling conditions, notably through his 2024 paper "High-Quality Short-Range Radar Imaging with Coprime Sampling," which proposes innovative methods to enhance image quality while reducing system complexity. This contribution is pivotal for enabling reliable, all-day, all-weather sensing in applications like autonomous vehicle navigation and robotic perception, where traditional radar systems often fall short. Though his most-cited paper currently holds 1 citation, Wei’s research is gaining traction for its practical impact on real-world sensing limitations. His achievements include developing algorithms that balance sampling efficiency with imaging fidelity, a key step toward more compact and cost-effective radar systems. By bridging theoretical signal processing with applied engineering, Wei is shaping the future of short-range radar, making it more accessible and robust for next-generation autonomous technologies.