2023
DOI: 10.3390/rs15020446
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An ADMM-qSPICE-Based Sparse DOA Estimation Method for MIMO Radar

Abstract: In recent years, sparse direction-of-arrival (DOA) estimation for multiple-input multiple-output (MIMO) radar has attracted extensive attention and been extensively studied, especially the method based on the classic least absolute shrinkage and selection operator (LASSO) estimator. The alternating-direction method of multipliers (ADMM) is an effective method for solving this problem at the cost of introducing an additional user parameter. To avoid introducing an additional user parameter, this paper adopts an… Show more

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Cited by 3 publications
(3 citation statements)
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“…Additionally, a deep Alternating Projection Network for gridless DOA estimation is proposed in [16], achieving super-resolution estimation. Moreover, ISTA is also adopted for deep unfolding [17,18] so that the proposed method can handle anti-jamming, array imperfections, and noise. In the channel estimation field, there are many works using deep unfolding to improve estimation performance.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, a deep Alternating Projection Network for gridless DOA estimation is proposed in [16], achieving super-resolution estimation. Moreover, ISTA is also adopted for deep unfolding [17,18] so that the proposed method can handle anti-jamming, array imperfections, and noise. In the channel estimation field, there are many works using deep unfolding to improve estimation performance.…”
Section: Introductionmentioning
confidence: 99%
“…In the past few decades, direction of arrival (DOA) estimation has been demonstrated to play a significant role in radar, 1 3 communication, 4 , 5 seismic survey, 6 , 7 and other fields as an important branch of signal processing. Electromagnetic vector sensor (EVS), 8 which can not only provide the spatial orientation information of electromagnetic waves but also receive the polarization information, has gained huge success in the field of radar array signal processing 9 …”
Section: Introductionmentioning
confidence: 99%
“…The most classical techniques for locating a target use the geometry of triangles [8,9,10]. Among these methods, the trilateration and triangulation techniques are the most widely used.…”
Section: Introductionmentioning
confidence: 99%