2019
DOI: 10.1109/lcomm.2018.2884457
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Reweighted Regularized Sparse Recovery for DOA Estimation With Unknown Mutual Coupling

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Cited by 51 publications
(42 citation statements)
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“…Ideally, arbitrarily large rejections can be achieved just by implementing a strong coupling coefficient or a sufficiently long filter. In practice, achievable rejection saturates beyond a certain filter length . To achieve the theoretical rejection level, partial reflections in all periods of the filter have to interfere constructively.…”
Section: Resultsmentioning
confidence: 99%
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“…Ideally, arbitrarily large rejections can be achieved just by implementing a strong coupling coefficient or a sufficiently long filter. In practice, achievable rejection saturates beyond a certain filter length . To achieve the theoretical rejection level, partial reflections in all periods of the filter have to interfere constructively.…”
Section: Resultsmentioning
confidence: 99%
“…A myriad of optical filters has been reported for the silicon photonics technology, including Bragg grating filters, cascaded micro‐resonators, and Mach–Zehnder interferometers (MZI) . Although theoretical designs can achieve remarkably large rejection levels, most practical implementations are limited to the 30–60 dB range . The main limiting factor to the achievable on‐chip optical rejection currently lies in fabrication imperfections.…”
Section: Introductionmentioning
confidence: 99%
“…Inspired by the method in [5], an effective block sparse representation model is considered for DOA estimation in the presence of unknown MC for ULA by [11]. In order to further exploit the block sparsity of the signal, a reweighted ℓ 1 -norm method [12] is introduced to solve the block sparse DOA estimation with MC, where the weighted matrix is determined by a MUSIC-like spectrum. In [13], a sparsity-inducing method over covariance matrix is proposed, which provides larger degrees of freedom and array aperture.…”
Section: Introductionmentioning
confidence: 99%
“…In this letter, a novel block sparse reconstruction method is devised and analyzed for DOA estimation with unknown MC, which first formulates a modified array manifold matrix without MC compensation, and establishes block sparse reconstruction model which differs from the models in [11], [12]. Then a family of block smoothed ℓ 0 approximation functions are utilized to exploit the block sparsity.…”
Section: Introductionmentioning
confidence: 99%
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