collaborators

19 papers

eess.SP2026

Fourier Preconditioning for Neural Feature Learning

Preston Pitzer, Anish Pradhan, Harpreet S. Dhillon

Mutual information (MI)-inspired feature learning techniques are capable of generating low-dimensional embeddings that retain nonlinear dependence structures, but direct estimation…

eess.SP2026

Björck Sequences: Extension to Arbitrary Lengths, Correlation Analysis, and Applications to Wireless Systems

Harish K. Dureppagari, Chiranjib Saha, R. Michael Buehrer +1

In this paper, we propose a sequence construction framework that extends prime-length Björck sequences, a class of Constant Amplitude Zero Autocorrelation (CAZAC) sequences, to ar…

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…

eess.SP2026

Optimal Anchor Placement for Wireless Localization in Mixed LOS and NLOS Scenarios

Gaurav Duggal, R. Michael Buehrer, Harpreet S. Dhillon +1

This paper develops a general optimal experimental design framework for anchor placement in localization and related estimation problems whose Fisher information matrix (FIM) can b…

eess.SP2026

Full Motion State Localization with Extra Large Aperture Arrays

Wasif J. Hussain, Don-Roberts Emenonye, R. Michael Buehrer +1

Conventional localization techniques typically assume far-field (FF) propagation characterized by planar wavefronts and simplified spatial relationships. The use of higher carrier…

cs.IT2026

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…