Ram Narayanan

Professor

Pennsylvania State University

United States

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About

Professor Ram Narayanan is a faculty member at Pennsylvania State University in the United States. His research primarily focuses on radar technologies, including multi-parameter optimization, Doppler signal analysis, and parameter estimation of low Earth orbit debris. He has contributed to various recent publications exploring advanced radar techniques and applications in natural language processing.

Articles (20)

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2025

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2021

Collaborators (2)

Matthew Brandsema

Assistant Research Professor

Pennsylvania State University

UNITED STATES

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Dmitriy Garmatyuk

Associate Professor

University of Miami

UNITED STATES

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Ram Narayanan

Research Interests

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About

Articles (20)

RadarTD: A Radar Text Dataset for multi-parameter optimization

Micro-Doppler Signal Features of Idling Vehicle Vibrations: Dependence on Gear Engagements and Occupancy

Experimental Test of Continuous Wave Frequency Diverse Array Doppler Radar

Radar Ambiguity Functions of Binary-Coded and Frequency-Hopped Waveforms Designed Based on the Permutations of Sudoku Matrix

Super-Resolution Angle Estimation Algorithm using Low Complexity MUSIC-Based RELAX for MIMO FMCW Radar

Passive Radar-Based Parameter Estimation of Low Earth Orbit Debris Targets

Design and Implementation of a Binary Phase-Shift Keying Frequency Diverse Array: Considerations and Challenges

Image enhancement methods for inspection of planar and non-planar FRP structures using a noise-based microwave NDT inspection system

Emerging Trends in Radar: Natural Language Processing

From the Editors of the Special Issue on Emerging Trends in Radar

Multiple-Criteria Operational Reliability Performance Metric of a Metacognitive Tracking Radar

Classification and Discrimination of Birds and Small Drones Using Radar Micro-Doppler Spectrogram Images

Assessment of Various Multimodal Fusion Approaches Using Synthetic Aperture Radar (SAR) and Electro-Optical (EO) Imagery for Vehicle Classification via Neural Networks

Radar Target Classification Receiver Using Sparse Regression and Target Tailored Matched Filters

Mitigation of Clutter Modulation in Cognitive Radar for Spectrum Sharing Applications

Restless Bandits for Metacognitive Spectrum Sharing With Software Defined Radar

Many-Objective RadarCom Signal Design via NSGA-II Genetic Algorithm Implementation and Simulation Analysis

Derivation of K-Factor Detection Statistics to Discriminate Between LOS and NLOS Scenarios

A Computational Electromagnetics and Sparsity-Based Feature Extraction Approach to Ground-Penetrating Radar Imaging

Analysis of a Dynamic Calibration Target for Through-Wall and Through-Rubble Motion Sensing Doppler Radar

Collaborators (2)

Matthew Brandsema

Dmitriy Garmatyuk

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