Jiajun Leng

Jiangsu University of Science and Technology

Papers

1

Total Citations

10

H-Index

1

About

Jiajun Leng is a researcher specializing in indoor localization and mobile robotics, with a particular focus on ultra-wideband (UWB) technology. His most cited work, "Improved TDOA Two-Stage UWB Localization Algorithm For Indoor Mobile Robot" (2021), addresses critical challenges in enhancing the accuracy and reliability of indoor positioning systems. By refining the time difference of arrival (TDOA) algorithm through a two-stage approach, Leng’s research significantly improves the service quality of indoor mobile robots, enabling more precise navigation in complex environments. This contribution has garnered 10 citations, reflecting its relevance to advancing autonomous systems. Leng’s work systematically explores the fundamental principles and error sources of UWB-based localization, offering practical solutions for real-world applications. His research is particularly valuable for students and engineers working on robotics, sensor networks, and indoor positioning systems, as it bridges theoretical algorithms with tangible improvements in robot mobility and operational efficiency.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Improved TDOA Two-Stage UWB Localization Algorithm For Indoor Mobile Robot
10 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Jiangsu University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago