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صفحه اصلی
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سی و سومین کنفرانس بین المللی مهندسی برق
Low Complexity Single-Snapshot DOA Estimation Using Adaptive Filtering
نویسندگان :
Mojtaba Amiri
1
Mohammadreza Nargesi
2
Ali Olfat
3
1- University of Tehran - Electrical and Computer Engineering
2- University of Tehran - Electrical and Computer Engineering
3- University of Tehran - Electrical and Computer Engineering
کلمات کلیدی :
Adaptive Filter،Compressive Sensing،Sparse Signal Reconstruction،Zero Attractor،Single Snapshot
چکیده :
This paper addresses the challenge of direction of arrival (DOA) estimation in single-snapshot scenarios by proposing a novel adaptive filter (AF)-based method leveraging compressive sensing principles. Using a uniform linear array, the proposed approach overcomes the limitations of conventional techniques. The proposed method does not assume any prior knowledge on the number of sources and uses a differentiable $L_0$ norm. To induce sparsity a zero attraction function is utilized in the proposed algorithm.Simulation results demonstrate that the AF algorithm outperforms conventional techniques, particularly in high signal-to-noise ratio (SNR) regime.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.6.0
