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Researchers develop new Hankel-structured sensing for super-resolution DoA estimation

By PulseAugur Editorial · [4 sources] ·

Researchers have developed new frameworks for direction-of-arrival (DoA) estimation, crucial for autonomous systems. These methods utilize Hankel-structured sensing and matrix decomposition, offering optimal performance under both L2 (Gaussian noise) and L1 (Laplace noise) norms. The proposed techniques demonstrate enhanced super-resolution capabilities, requiring less signal-to-noise ratio and achieving higher resolution probabilities compared to existing approaches, validated through simulations and real-world experiments. AI

IMPACT Advances in DoA estimation could improve sensor fusion and environmental perception in autonomous systems.

RANK_REASON Two arXiv papers detail novel algorithms for direction-of-arrival estimation using matrix decomposition.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 4 sources. How we write summaries →

Researchers develop new Hankel-structured sensing for super-resolution DoA estimation

COVERAGE [4]

  1. arXiv cs.LG TIER_1 English(EN) · Georgios I. Orfanidis, Dimitris A. Pados, George Sklivanitis, Elizabeth Serena Bentley ·

    Hankel and Toeplitz Rank-1 Decomposition of Arbitrary Matrices with Applications to Signal Direction-of-Arrival Estimation

    arXiv:2604.26787v1 Announce Type: new Abstract: We consider the problems of computing the optimal rank-$1$ Hankel and Toeplitz-structured approximation of arbitrary matrices under $L_2$ and $L_1$-norm error. Such problems arise naturally in engineered systems, including the basic…

  2. arXiv cs.LG TIER_1 English(EN) · Georgios I. Orfanidis, Dimitris A. Pados, George Sklivanitis, Elizabeth Serena Bentley ·

    Super-resolution Multi-signal Direction-of-Arrival Estimation by Hankel-structured Sensing and Decomposition

    arXiv:2604.26793v1 Announce Type: new Abstract: Motivated by sensing modalities in modern autonomous systems that involve hardware-constrained spatial sampling over large arrays with limited coherence time, we develop a novel framework for rapid super-resolution multi-signal dire…

  3. arXiv cs.LG TIER_1 English(EN) · Elizabeth Serena Bentley ·

    Super-resolution Multi-signal Direction-of-Arrival Estimation by Hankel-structured Sensing and Decomposition

    Motivated by sensing modalities in modern autonomous systems that involve hardware-constrained spatial sampling over large arrays with limited coherence time, we develop a novel framework for rapid super-resolution multi-signal direction-of-arrival (DoA) estimation based on Hanke…

  4. arXiv cs.LG TIER_1 English(EN) · Elizabeth Serena Bentley ·

    Hankel and Toeplitz Rank-1 Decomposition of Arbitrary Matrices with Applications to Signal Direction-of-Arrival Estimation

    We consider the problems of computing the optimal rank-$1$ Hankel and Toeplitz-structured approximation of arbitrary matrices under $L_2$ and $L_1$-norm error. Such problems arise naturally in engineered systems, including the basic few-shot signal Direction-of-Arrival (DoA) esti…

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