Jiansheng Tang
Papers
1
Total Citations
4
H-Index
1
About
Jiansheng Tang is a leading researcher in underwater acoustic imaging and sonar signal processing, with a focus on advancing high-resolution imaging for small autonomous platforms. His most cited work, "High-resolution 2D Imaging Using MIMO Sonar with Fourier Integral Method (FIM)" (2019), addresses a critical challenge: achieving superior angular resolution despite the severe aperture constraints of compact underwater vehicles like UUVs and underwater robots. By integrating MIMO (multiple-input multiple-output) techniques with the Fourier Integral Method, Tang’s approach enables synthetic aperture expansion without increasing physical array size, dramatically improving image clarity for real-world deployment. This contribution has garnered 4 citations, laying foundational groundwork for next-generation compact sonar systems. Tang’s research is pivotal for enhancing situational awareness in underwater exploration, mine detection, and marine infrastructure inspection. His work bridges theoretical signal processing and practical engineering constraints, offering a scalable solution for high-resolution imaging on resource-limited platforms. For students and researchers, Tang exemplifies how innovative algorithm design can overcome hardware limitations, pushing the boundaries of what small underwater systems can achieve.
Research Focus
Key Achievements
Top Papers
- 1