Fast Noncircular 2D-DOA Estimation for Rectangular Planar Array

Xu, Liang; Wen, Fangqing

doi:10.3390/s17040840

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…Because of this, both overdetermined and underdetermined DOA estimation became possible [17]. Xu et al [18] explored a rectangular array for DOA estimation. The real-valued propagator method was utilized to estimate two-dimensional DOA in their work.…”

Section: Literature Reviewmentioning

confidence: 99%

An Overview of Direction-of-Arrival Estimation Methods Using Adaptive Directional Time-Frequency Distributions

Eranti

Barkana

2022

Electronics

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Direction of arrival (DOA) is one of the essential topics in array signal processing that has many applications in communications, smart antennas, seismology, acoustics, radars, and many more. As the applications of DOA estimation are broadened, the challenges in implementing a DOA algorithm arise. Different environments require different modifications to the existing methods. This paper reviews the DOA algorithms in the literature. It evaluates and compares the performance of the three well known algorithms, including MUSIC, ESPRIT, and Eigenvalue Decomposition (EVD), with and without using adaptive directional time–frequency distributions (ADTFD) at the preprocessing stage. We simulated a case with four sources and three receivers. The sources were well separated. Signals were received at each sensor with an SNR value of −5 dB, 0 dB, 5 dB, and 10 dB. The angles of the sources were 15, 30, 45, and 60 degrees. The simulation results show that the ADTFD algorithm significantly improved the performance of MUSIC, while it did not provide similar results for the ESPRIT and EVD methods. As expected, the computation time of the algorithms was increased by implementing the ADTFD algorithm as a preprocessing step.

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Section: Literature Reviewmentioning

confidence: 99%

An Overview of Direction-of-Arrival Estimation Methods Using Adaptive Directional Time-Frequency Distributions

Eranti

Barkana

2022

Electronics

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“…In bistatic MIMO radar, joint estimation of direction-of-departure (DOD) and direction-of-arrival (DOA) is a key issue. Many excellent algorithms, such as spatial spectrum searching methods [ 4 , 5 ], estimate of signal parameter via rotational invariance techniques (ESPRIT) based methods [ 6 , 7 ], propagator methods (PM) [ 8 , 9 , 10 ], optimization methods [ 11 , 12 ] and tensor methods [ 13 , 14 , 15 ], have been investigated. As suggested in these literatures, all the methods can perform well under the desired conditions, such as the well-calibrated transmit and receive arrays, and Gaussian white noise.…”

Section: Introductionmentioning

confidence: 99%

Robust Angle Estimation for MIMO Radar with the Coexistence of Mutual Coupling and Colored Noise

Wang

et al. 2018

Sensors

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This paper deals with joint estimation of direction-of-departure (DOD) and direction-of- arrival (DOA) in bistatic multiple-input multiple-output (MIMO) radar with the coexistence of unknown mutual coupling and spatial colored noise by developing a novel robust covariance tensor-based angle estimation method. In the proposed method, a third-order tensor is firstly formulated for capturing the multidimensional nature of the received data. Then taking advantage of the temporal uncorrelated characteristic of colored noise and the banded complex symmetric Toeplitz structure of the mutual coupling matrices, a novel fourth-order covariance tensor is constructed for eliminating the influence of both spatial colored noise and mutual coupling. After a robust signal subspace estimation is obtained by using the higher-order singular value decomposition (HOSVD) technique, the rotational invariance technique is applied to achieve the DODs and DOAs. Compared with the existing HOSVD-based subspace methods, the proposed method can provide superior angle estimation performance and automatically jointly perform the DODs and DOAs. Results from numerical experiments are presented to verify the effectiveness of the proposed method.

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Beamspace MUSIC Algorithm based on Space-time Array Signal Model

Bin¹,

Wang²,

Shen³

2019

J. Phys.: Conf. Ser.

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This paper is devoted to the direction-of-arrival (DOA) algorithm in the moving array scenario. A beamspace MUSIC algorithm based on space-time signal model is proposed to cope with this scenario. First, the DOA information contained in Doppler shift is used to combine with the array spatial information, thus constructing a space-time signal model. Second, allowing for the considerable dimension and complexity of the space-time model, we transform the array sensor data into beamspace to reduce the computation load. The introduction of Doppler information leads to significant enhancement in algorithm performance. Simulation results demonstrate the promotion of proposed algorithm.

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Fast Noncircular 2D-DOA Estimation for Rectangular Planar Array

Cited by 4 publications

References 29 publications

An Overview of Direction-of-Arrival Estimation Methods Using Adaptive Directional Time-Frequency Distributions

An Overview of Direction-of-Arrival Estimation Methods Using Adaptive Directional Time-Frequency Distributions

Robust Angle Estimation for MIMO Radar with the Coexistence of Mutual Coupling and Colored Noise

Beamspace MUSIC Algorithm based on Space-time Array Signal Model

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