Nonconventional Least Squares Optimization for DOA Estimation

Burintramart, Santana; Sarkar, Tapan K.; Salazar-Palma, M.

doi:10.1109/tap.2007.891549

Cited by 19 publications

(19 citation statements)

References 5 publications

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“…The direction of arrival (DOA) estimation problem has been studied in applications including wireless communication, radar, and sonar and array signal processing [1][2][3]. Usually, the discrete Fourier transform (DFT) method is used and formulates the DOA estimation problem as a spatial sampling reconstruction problem [4][5][6][7]. However, the resolution of traditional methods is limited by the Rayleigh criterion [8,9].…”

Section: Introductionmentioning

confidence: 99%

Atomic Norm-Based DOA Estimation with Dual-Polarized Radar

Han

Dou

2019

Electronics

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In the dual-polarized radar system, the horizontally and vertically polarized signals can be exploited to improve the direction of arrival (DOA) estimation performance. In this paper, the DOA estimation problem is considered in the dual-polarized radar. By exploiting the target sparsity in the spatial domain, the sparse-based method is proposed after formulating the DOA estimation problem as a sparse reconstruction problem. In the traditionally sparse methods using the compressed sensing (CS) theory, the spatial domain is discretized into grids to establish a dictionary matrix and solve the sparse reconstruction problem, but the off-grid error is introduced in the discretized grids. Therefore, we formulate a novel definition of atomic norm for the dual-polarized signals and give an atomic norm-based method to denoise the received signals. Then, an efficient semidefinite program (SDP) is derived, and the DOA is estimated by searching the peak values of the denoised signals. Simulation results show that the proposed method can significantly improve the DOA estimation performance in the dual-polarized radar. Additionally, compared with the state-of-art methods, the proposed method has better estimation performance with relatively low computational complexity.

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Section: Introductionmentioning

confidence: 99%

Atomic Norm-Based DOA Estimation with Dual-Polarized Radar

Han

Dou

2019

Electronics

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“…In order to solve this problem, the monopulse technique [3] and Least Squares (LS) approach [4] have been proposed and got some beneficial effect . However, both of the superresolution methods have their inherent defects.…”

Section: Introductionmentioning

confidence: 99%

Iterative adaptive method for real-beam scanning imaging

Zhang

Huang

et al. 2014

2014 IEEE Geoscience and Remote Sensing Symposium

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This paper present a novel superresolution algorithm for realbeam scanning radar based on the iterative adaptive strategy. Firstly, we establish the objective function based on the minimum mean-square error (MMSE) criterion, then we build the iterative expression by update the covariance matrix. This algorithm has better superresolution performance than traditional deconvolution method. Simulation results verified the analysis before.

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“…high frequency (HF)], there is no practical way to circle around the array because a large space is required to place transmitters in the far-field positions. On the other hand, experimental results show that the coupling matrix is dependent on the angle of arrival, especially in the presence of structural scattering [11] and multipath effects [12]. Most of the deterministic methods that are based on calibration by pilot sources are location dependent.…”

Section: Introductionmentioning

confidence: 99%

“…Three most prevalent and practical methods of this category are OI [3], S-parameter (SP) [17] and external calibration methods [12]. This work focuses on the SP method, and we use external calibration techniques as a reference.…”

Section: Introductionmentioning

confidence: 99%

Coupling compensation for unmatched circular arrays in high-frequency applications

Emadi

Sadeghi

2012

IET Radar Sonar Navig.

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In this study, the authors perform a complete survey on S-parameter method applications to compensate the coupling effect in circular arrays. The authors illustrate that, despite the simplicity and ease of measurements, the S-parameter algorithm has an adequate performance in comparison with the external calibration techniques in real environments. Based on the simulation and experimental results, for unmatched arrays and low-frequency applications [e.g. high-frequency (HF) radars], the S-parameter method performance is demonstrated to be comparable in accuracy to the external calibration techniques. Despite multipath effect and structural scattering, the direction of arrival can be estimated by the S-parameter method with the same accuracy as obtained by the external calibration techniques, which are disadvantageously location dependent.

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Nonconventional Least Squares Optimization for DOA Estimation

Cited by 19 publications

References 5 publications

Atomic Norm-Based DOA Estimation with Dual-Polarized Radar

Atomic Norm-Based DOA Estimation with Dual-Polarized Radar

Iterative adaptive method for real-beam scanning imaging

Coupling compensation for unmatched circular arrays in high-frequency applications

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