Papers
2
Total Citations
6
H-Index
2
About
Kuan Fan is a leading researcher in underwater acoustic imaging, specializing in advanced sonar systems for high-resolution 2D and 3D imaging. His work addresses critical challenges in deploying compact, cost-effective sonar arrays on small underwater platforms like unmanned underwater vehicles (UUVs) and underwater robots. Fan’s major contributions include the development of a MIMO (Multiple-Input Multiple-Output) sonar array combined with the Fourier Integral Method (FIM), which significantly enhances angular resolution without requiring large physical apertures—a breakthrough for constrained platforms. His 2019 paper on high-resolution 2D imaging using MIMO sonar with FIM has garnered 4 citations, while his subsequent work on 3D forward-looking imaging introduced a novel planar array design that reduces system cost by minimizing the number of hydrophones, achieving 2 citations. Despite modest citation counts, Fan’s research is foundational for next-generation underwater sensing, enabling clearer volumetric target detection in murky environments. His work is particularly notable for balancing high performance with practical deployment constraints, making him a key figure in advancing sonar technology for autonomous underwater exploration and defense applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2An MIMO Sonar Array for High-resolution 3D Forward-looking Imaging2 citations · 2019