activity
20172026
most citedDiffraction Aided Wireless Positioning

5 citations · 8 across the 20 of their papers we have counts for

collaborators

21 papers

eess.SP2026

A New Location Estimator for Mixed LOS & NLOS scenarios

Gaurav Duggal, Richard M. Buehrer, Harpreet S. Dhillon +1

Time-of-arrival (TOA)-based localization in mixed line-of-sight (LOS) and non-line-of-sight (NLOS) environments is challenging because conventional Euclidean range models do not ca…

cs.CV2026

Speech-Synchronized Whiteboard Generation via VLM-Driven Structured Drawing Representations

Suraj Prasad, Pinak Mahapatra

Creating whiteboard-style educational videos demands precise coordination between freehand illustrations and spoken narration, yet no existing method addresses this multimodal sync…

cs.IT2026★ 1 cited

LEO-based Carrier-Phase Positioning for 6G: Design Insights and Comparison with GNSS

Harish K. Dureppagari, Harikumar Krishnamurthy, Chiranjib Saha +4

The integration of non-terrestrial networks (NTN) into 5G new radio (NR) enables a new class of positioning capabilities based on cellular signals transmitted by Low-Earth Orbit (L…

eess.SP2025

Neural Network-Assisted RIS Weight Optimization for Spatial Nulling in Distorted Reflector Antenna Systems

Xinrui Li, R. Michael Buehrer

Reconfigurable intelligent surfaces (RIS) have recently been proposed as an effective means for spatial interference suppression in large reflector antenna systems. Existing RIS we…

eess.SP2025

Interference Mitigation using U-Net Autoencoder based system

Hiten Prakash Kothari, R. Michael Buehrer

This paper proposes a U-Net-based autoencoder framework for mitigating interference in communication signals corrupted by noise and diverse interference sources. The approach targe…

eess.SP2025

On the Ability of Deep Learning to Detect Signals with Unknown Parameters

Tom Anders, Hiten Prakash Kothari, R. Michael Buehrer

In many signal processing applications, including communications, sonar, radar, and localization, a fundamental problem is the detection of a signal of interest in background noise…