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Electronics and Electrical Engineering

D-Index
40
Citations
7919
World Ranking
4443
National Ranking
1580

Research.com Recognitions

  • 2006 - IEEE Fellow For contributions to mathematical techniques for radar space-time adaptive processing.

Overview

Muralidhar Rangaswamy is affiliated with the United States Air Force Research Laboratory in the United States. Their research focuses on engineering and computer science, particularly in aerospace engineering, artificial intelligence, and signal processing.

Their work extensively covers radar systems and signal processing, with notable contributions in advanced SAR imaging techniques, direction-of-arrival estimation techniques, target tracking and data fusion in sensor networks, ocean waves and remote sensing, underwater acoustics research, and radio wave propagation studies.

Frequent co-authors include Bosung Kang, Sandeep Gogineni, Vikram Krishnamurthy, Shyam Venkatasubramanian, and Ali Pezeshki.

Some of the recent publications authored or co-authored by Muralidhar Rangaswamy include:

  • "Prospect Theoretic Utility Based Human Decision Making in Multi-Agent Systems" (2020), IEEE Transactions on Signal Processing
  • "Adversarial Radar Inference: Inverse Tracking, Identifying Cognition, and Designing Smart Interference" (2021), IEEE Transactions on Aerospace and Electronic Systems
  • "Quadratic Semidefinite Programming for Waveform-Constrained Joint Filter-Signal Design in STAP" (2020), IEEE Transactions on Signal Processing
  • "High Fidelity RF Clutter Modeling and Simulation" (2022), IEEE Aerospace and Electronic Systems Magazine
  • "Adaptive channel estimation for cognitive fully adaptive radar" (2021), IET Radar Sonar & Navigation

Publications by Rangaswamy are often featured in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Aerospace and Electronic Systems
  • IEEE Transactions on Signal Processing
  • IET Radar Sonar & Navigation
  • IEEE Aerospace and Electronic Systems Magazine

Their research contributions have been recognized by the IEEE Fellow award in 2006 for their mathematical techniques related to radar space-time adaptive processing.

Best Publications

  • MIMO Radar Waveform Design With Constant Modulus and Similarity Constraints

    Guolong Cui;Hongbin Li;Muralidhar Rangaswamy

  • Non-Gaussian random vector identification using spherically invariant random processes

    M. Rangaswamy;D.D. Weiner;A. Ozturk

  • Parametric adaptive matched filter for airborne radar applications

    J.R. Roman;M. Rangaswamy;D.W. Davis;Qingwen Zhang

  • Computer generation of correlated non-Gaussian radar clutter

    M. Rangaswamy;D. Weiner;A. Ozturk

  • Cognitive Radar Framework for Target Detection and Tracking

    Kristine L. Bell;Christopher J. Baker;Graeme E. Smith;Joel T. Johnson

  • Space-time adaptive processing: a knowledge-based perspective for airborne radar

    M.C. Wicks;M. Rangaswamy;R. Adve;T.B. Hale

  • Knowledge Based Radar Detection, Tracking and Classification

    Fulvio Gini;Muralidhar Rangaswamy

  • Signaling Strategies for the Hybrid MIMO Phased-Array Radar

    D.R. Fuhrmann;J.P. Browning;M. Rangaswamy

  • Statistical analysis of the nonhomogeneity detector for non-Gaussian interference backgrounds

    M. Rangaswamy

  • Robust adaptive signal processing methods for heterogeneous radar clutter scenarios

    Muralidhar Rangaswamy;Freeman C. Lin;Karl R. Gerlach

  • Transmit MIMO Radar Beampattern Design via Optimization on the Complex Circle Manifold

    Khaled Alhujaili;Vishal Monga;Muralidhar Rangaswamy

  • An Overview of Cognitive Radar: Past, Present, and Future

    Sevgi Zubeyde Gurbuz;Hugh D. Griffiths;Alexander Charlish;Muralidhar Rangaswamy

  • Waveform-agile sensing for tracking

    S.P. Sira;Ying Li;A. Papandreou-Suppappola;D. Morrell

  • Statistical analysis of measured polarimetric clutter data at different range resolutions

    Maria Greco;Fulvio Gini;Muralidhar Rangaswamy

  • Successive QCQP Refinement for MIMO Radar Waveform Design Under Practical Constraints

    Omar Aldayel;Vishal Monga;Muralidhar Rangaswamy

  • Phase-Coded Waveforms and Their Design

    J.J. Benedetto;I. Konstantinidis;M. Rangaswamy

  • Statistical analysis of the non-homogeneity detector for STAP applications

    Muralidhar Rangaswamy;James H. Michels;Braham Himed

  • Rank-Constrained Maximum Likelihood Estimation of Structured Covariance Matrices

    Bosung Kang;Vishal Monga;Muralidhar Rangaswamy

  • Tractable Transmit MIMO Beampattern Design Under a Constant Modulus Constraint

    Omar Aldayel;Vishal Monga;Muralidhar Rangaswamy

  • Impact of Sea Clutter Nonstationarity on Disturbance Covariance Matrix Estimation and CFAR Detector Performance

    M Greco;P Stinco;F Gini;M Rangaswamy

  • Knowledge-Based Radar Detection, Tracking, and Classification: Gini/Radar Detection

    Fulvio Gini;Muralidhar Rangaswamy

  • Knowledge Based Radar Detection, Tracking and Classification (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

    Fulvio Gini;Muralidhar Rangaswamy

Frequent Co-Authors

Ram M. Narayanan
Ram M. Narayanan Pennsylvania State University
Fulvio Gini
Fulvio Gini University of Pisa
Maria Greco
Maria Greco University of Pisa
Braham Himed
Braham Himed United States Air Force Research Laboratory
Hongbin Li
Hongbin Li Stevens Institute of Technology
Joel T. Johnson
Joel T. Johnson The Ohio State University
Christopher J. Baker
Christopher J. Baker University of Birmingham
Shannon D. Blunt
Shannon D. Blunt University of Kansas
Abdelhak M. Zoubir
Abdelhak M. Zoubir Technical University of Darmstadt
Arye Nehorai
Arye Nehorai Washington University in St. Louis

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