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20212025
most citedMaximum Likelihood-based Gridless DoA Estimation Using Structured Covariance Matrix Recovery and SBL with Grid Refinement

55 citations · 55 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2025

Optimum Power Allocation for Low Rank Wi-Fi Channels: A Comparison with Deep RL Framework

Muhammad Ahmed Mohsin, Sagnik Bhattacharya, Kamyar Rajabalifardi +2

Upcoming Augmented Reality (AR) and Virtual Reality (VR) systems require high data rates ( 500 Mbps) and low power consumption for seamless experience. With an increasing num…

eess.SP2024

Optimal Power Allocation and Time Sharing in Low Rank Multi-carrier Wi-Fi Channels

Sagnik Bhattacharya, Kamyar Rajabalifardi, Muhammad Ahmed Mohsin +2

The ever-evolving landscape of distributed wireless systems, e.g. multi-user AR/VR systems, demands high data rates (up to 500 Mbps per user) and low power consumption. With increa…

eess.SP2024

Novel Active Sensing and Inference for mmWave Beam Alignment Using Single RF Chain Systems

Rohan R. Pote, Bhaskar D. Rao

We propose a novel sensing approach for the beam alignment problem in millimeter wave systems using a single Radio Frequency (RF) chain. Conventionally, beam alignment using a sing…

eess.SP2022★ 55 cited

Maximum Likelihood-based Gridless DoA Estimation Using Structured Covariance Matrix Recovery and SBL with Grid Refinement

Rohan R. Pote, Bhaskar D. Rao

We consider the parametric data model employed in applications such as line spectral estimation and direction-of-arrival estimation. We focus on the stochastic maximum likelihood e…

eess.SP2021

A Novel Bayesian Approach for the Two-Dimensional Harmonic Retrieval Problem

Rohan R. Pote, Bhaskar D. Rao

Sparse signal recovery algorithms like sparse Bayesian learning work well but the complexity quickly grows when tackling higher dimensional parametric dictionaries. In this work we…