Sajina Pradhan

Papers

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About

Sajina Pradhan is a researcher in wireless communication and location-based services, with a focus on improving positioning accuracy in cellular networks. Her most-cited work, "Line Intersection Algorithm for the Enhanced TOA Trilateration Technique" (2014), addresses a fundamental challenge in location determination technology (LDT): refining time-of-arrival (TOA) trilateration to reduce errors in mobile robot and wireless system applications. This paper, with 11 citations, introduces a novel line intersection approach that enhances the precision of distance-based positioning, contributing to the broader field of location-based services (LBS). Pradhan’s work is notable for its practical implications in modern wireless communication, where reliable localization is critical for autonomous navigation and emergency services. By tackling the inherent inaccuracies of traditional TOA methods, she has helped advance the reliability of cellular-based positioning systems. Her research bridges theoretical algorithm development with real-world deployment, making her contributions valuable for students and engineers working on mobile robotics, IoT, and 5G localization technologies.