고해상도 센싱에서의 강력한 빔포밍 적용: 불확실성에 강인한 빔포밍 이론 및 해상도 개선 기술
본 논문은 불확실성이 존재하는 환경에서도 안정적인 성능을 보장하는 강력한 빔포밍 기술에 대해 다루고 있으며, 특히 제한된 데이터 크기와 모델 오차를 극복하면서도 고해상도 센싱을 달성하기 위한 이론적 토대와 알고리즘 설계 방안을 제시합니다.
高分解能センシングにおけるロバストビームフォーミングとその応用
本稿では、データの不確実性に対するロバスト性を高めるために、ビームフォーミング技術に正則化を導入することの重要性を論じています。具体的には、データ分布のばらつきに対して安定した性能を発揮する「ロバストビームフォーマ」の概念を定義し、その実現方法として、局所的/大域的ロバストビームフォーミング、正則化ビームフォーミング、ベイジアンノンパラメトリックビームフォーミングの4つの技術的アプローチを提示しています。さらに、これらのアプローチ間の同等性を明らかにし、統一的なロバストビームフォーミングの枠組みを提案しています。加えて、MUSIC法の特性をロバストビームフォーマに組み込むことで、到来角推定の分解能を大幅に向上できることを示しています。
A Comprehensive Study of Robust Beamforming Techniques for High-Resolution Sensing Applications
Robust beamforming techniques, while essential for mitigating uncertainties in signal models and data limitations, often compromise resolution. This article proposes a formalized framework for understanding and designing robust beamformers, and introduces methods to enhance resolution in direction-of-arrival (DoA) estimation by integrating characteristics of MUSIC with robust beamforming approaches.
Blind Deconvolution of Sparse Signals Using Hierarchical Sparse Recovery and the HiHTP Algorithm: A Theoretical Analysis
This paper demonstrates that the HiHTP algorithm, leveraging hierarchical sparsity, can effectively solve the bi-sparse blind deconvolution problem with near-optimal sample complexity, making it a promising approach for applications like wireless communication.
Multitarget Parameter Estimation in Bistatic MIMO Radar Using Extended Array Manifolds
This research paper presents a novel algorithm for estimating target parameters, specifically Direction of Arrival (DOA) and Direction of Departure (DOD), in a Multitarget Bistatic MIMO Radar system. The proposed method leverages the concept of "extended array manifolds" and "manifold extenders" to enhance the system's observation space and achieve superior accuracy compared to conventional techniques.
Sliding DFT-based Signal Recovery for Modulo ADC with 1-bit Folding Information: Reducing Observation Time and Spectral Leakage Effects
This paper introduces a novel signal recovery method for modulo ADCs using a sliding DFT approach with 1-bit folding information, which reduces observation time and mitigates spectral leakage, potentially outperforming conventional ADCs in oversampled systems.
Super-Resolution Generalized Eigenvalue Method for True Sub-Nyquist Sampling Using Matrix Pencil and Chinese Remainder Theorem
This paper proposes a novel super-resolution generalized eigenvalue method, integrating the matrix pencil method and Chinese Remainder Theorem (CRT), to enhance signal processing capabilities within a true sub-Nyquist framework for improved frequency resolution and accuracy in high-frequency signal extraction.
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