World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
56
Citations
18332
World Ranking
2025
National Ranking
60

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to multi-user MIMO communications and tensor-based signal processing

Overview

Martin Haardt is affiliated with the Ilmenau University of Technology in Germany. Their research spans multiple areas within engineering and computer science, notably focusing on electrical and electronic engineering, signal processing, aerospace engineering, computational mathematics, and computer networks and communications.

The scientist's work extensively covers advanced topics in wireless communication and signal processing. Key research themes include:

  • Advanced MIMO Systems Optimization
  • Tensor decomposition and applications
  • Direction-of-Arrival Estimation Techniques
  • Wireless Communication Networks Research
  • Advanced Wireless Communication Techniques
  • Indoor and Outdoor Localization Technologies
  • Millimeter-Wave Propagation and Modeling

Martin Haardt's publication record involves frequent contributions to prominent venues, such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • IEEE Signal Processing Magazine
  • IEEE Signal Processing Letters
  • 2021 55th Asilomar Conference on Signals, Systems, and Computers

Notable recent papers authored or coauthored by Martin Haardt include:

  • "Structured Nyquist Correlation Reconstruction for DOA Estimation With Sparse Arrays," 2023, IEEE Transactions on Signal Processing
  • "Twenty-Five Years of Sensor Array and Multichannel Signal Processing: A review of progress to date and potential research directions," 2023, IEEE Signal Processing Magazine
  • "Coupled Coarray Tensor CPD for DOA Estimation With Coprime L-Shaped Array," 2021, IEEE Signal Processing Letters
  • "Gridless Channel Estimation for Hybrid mmWave MIMO Systems via Tensor-ESPRIT Algorithms in DFT Beamspace," 2021, IEEE Journal of Selected Topics in Signal Processing
  • "Double-RIS Versus Single-RIS Aided Systems: Tensor-Based Mimo Channel Estimation and Design Perspectives," 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The scientist has collaborated frequently with colleagues including André L. F. de Almeida, Khaled Ardah, Brenda Vilas Boas, Wolfgang Zirwas, and Sepideh Gherekhloo.

Recognition of Martin Haardt's contributions includes being named an IEEE Fellow in 2018 for contributions to multi-user MIMO communications and tensor-based signal processing.

Best Publications

  • Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels

    Q.H. Spencer;A.L. Swindlehurst;M. Haardt

  • An introduction to the multi-user MIMO downlink

    Q.H. Spencer;C.B. Peel;A.L. Swindlehurst;M. Haardt

  • Unitary ESPRIT: how to obtain increased estimation accuracy with a reduced computational burden

    M. Haardt;J.A. Nossek

  • Closed-form 2-D angle estimation with rectangular arrays in element space or beamspace via unitary ESPRIT

    M.D. Zoltowski;M. Haardt;C.P. Mathews

  • Higher-Order SVD-Based Subspace Estimation to Improve the Parameter Estimation Accuracy in Multidimensional Harmonic Retrieval Problems

    M. Haardt;F. Roemer;G. Del Galdo

  • Smart antenna technologies for future wireless systems: trends and challenges

    A. Alexiou;M. Haardt

  • Generalized Design of Multi-User MIMO Precoding Matrices

    V. Stankovic;M. Haardt

  • Unitary root-MUSIC with a real-valued eigendecomposition: a theoretical and experimental performance study

    M. Pesavento;A.B. Gershman;M. Haardt

  • Simultaneous Schur decomposition of several nonsymmetric matrices to achieve automatic pairing in multidimensional harmonic retrieval problems

    M. Haardt;J.A. Nossek

  • The TD-CDMA based UTRA TDD mode

    M. Haardt;A. Klein;R. Koehn;S. Oestreich

  • Comparative study of joint-detection techniques for TD-CDMA based mobile radio systems

    M. Vollmer;M. Haardt;J. Gotze

  • Enhancements of unitary ESPRIT for non-circular sources

    M. Haardt;F. Romer

  • TRICE: A Channel Estimation Framework for RIS-Aided Millimeter-Wave MIMO Systems

    Khaled Ardah;Sepideh Gherekhloo;Andre L. F. de Almeida;Martin Haardt

  • Generalized Design of Low-Complexity Block Diagonalization Type Precoding Algorithms for Multiuser MIMO Systems

    Keke Zu;Rodrigo C. de Lamare;Martin Haardt

  • Tensor-Based Channel Estimation and Iterative Refinements for Two-Way Relaying With Multiple Antennas and Spatial Reuse

    Florian Roemer;Martin Haardt

  • Blind Adaptive Constrained Reduced-Rank Parameter Estimation Based on Constant Modulus Design for CDMA Interference Suppression

    R.C. de Lamare;M. Haardt;R. Sampaio-Neto

  • Structured Nyquist Correlation Reconstruction for DOA Estimation With Sparse Arrays

    Unknown

  • 2D unitary ESPRIT for efficient 2D parameter estimation

    M. Haardt;M.D. Zoltowski;C.P. Mathews;J. Nossek

  • Multi-Branch Tomlinson-Harashima Precoding Design for MU-MIMO Systems: Theory and Algorithms

    Keke Zu;Rodrigo C. de Lamare;Martin Haardt

  • Capacity and downlink transmission algorithms for a multi-user MIMO channel

    Q.H. Spencer;M. Haardt

  • Beam forming method

    Christopher Brunner;Martin Haardt;Joachim Hammerschmidt;Alexander Seeger

  • Are LAS-codes a miracle ?

    S. Stanczak;H. Boche;M. Haardt

Frequent Co-Authors

Josef A. Nossek
Josef A. Nossek Technical University of Munich
Sergiy A. Vorobyov
Sergiy A. Vorobyov Aalto University
Michael D. Zoltowski
Michael D. Zoltowski Purdue University West Lafayette
Alex B. Gershman
Alex B. Gershman Technical University of Darmstadt
Eduard A. Jorswieck
Eduard A. Jorswieck Technische Universität Braunschweig
Anja Klein
Anja Klein Technical University of Darmstadt
R.C. de Lamare
R.C. de Lamare Pontifical Catholic University of Rio de Janeiro
Erik G. Larsson
Erik G. Larsson Linköping University
Martin C. Schubert
Martin C. Schubert Fraunhofer Society
Peter Willett
Peter Willett University of Connecticut

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