Two-dimensional direction-of-arrival estimation method based on interpolation fitting for airborne conformal MIMO radar in a multipath environment

Hu, Yili; Zhao, Yongbo; Chen, Sheng; Niu, Ben

doi:10.1016/j.dsp.2021.103374

Cited by 10 publications

(2 citation statements)

References 33 publications

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“…In previous studies, the performance of the joint polarization DOA estimation algorithm mainly depends on the estimation accuracy and real-time. The subspace super-resolution estimation method represented by multiple signal classification (MUSIC) algorithm 13 , 14 and estimating signal parameters via rotational invariance techniques (ESPRIT) algorithm 15 , 16 has become a noticeable research topic. MUSIC algorithm estimates the parameters of incident signals with high accuracy by searching the constructed spatial spectrum.…”

Section: Introductionmentioning

confidence: 99%

Multi-dimensional parameter estimation of uniform circular array electromagnetic vector sensor based on polarization-direction of arrival matrix

Wang,

He,

Han

et al. 2023

J. Appl. Rem. Sens.

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Uniform circular array electromagnetic vector sensor (UCA-EVS) can provide omnidirectional and high-resolution azimuth information and polarization information, which has been widely concerned in the field of radar signal processing. Aiming at the joint estimation of direction of arrival (DOA) and polarization parameters of coherent sources via UCA-EVS, a multi-dimensional parameter estimation method with low complexity-polarization-DOA matrix method-is proposed. First, the rank of array covariance matrix is recovered by axial virtual translation, and then the direction and polarization parameters of the signal are estimated by using the eigenvalues and eigenvectors of the matrix based on constructing polarization-DOA matrix. Different from the traditional DOA matrix method, the proposed algorithm can not only estimate the azimuth information of the signals but also provide the polarization information of the targets, and the estimated parameters can be matched automatically. At the same time, it can estimate the parameters only by using the information of three elements, which can save hardware resources. In addition, the proposed method does not need to search for spectral peaks, which not only greatly reduces the computational complexity but also loses the estimation accuracy. Simulation results verify the feasibility of the proposed algorithm.

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Section: Introductionmentioning

confidence: 99%

Multi-dimensional parameter estimation of uniform circular array electromagnetic vector sensor based on polarization-direction of arrival matrix

Wang,

He,

Han

et al. 2023

J. Appl. Rem. Sens.

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show abstract

“…Multiple signal classification (MUSIC) [12][13][14] proposed by Schmidt in 1979 and estimation signal parameter via rotational invariance techniques (ESPRIT) proposed by Roy et al in 1986 have realized the leap from traditional direction finding to modern high-resolution direction finding, opening up a new field of feature subspace classification algorithms [15][16][17][18][19]. In the late 1980s, weighted subspace fitting (WSF) was proposed to transform such problems into optimization problems with multidimensional parameters [20][21][22][23][24]. The spatial smoothing algorithm is one of the effective means to solve the DOA of the coherent sound source, but it is applied mainly to the linear array, and the effect of the circular array is not ideal [25][26][27].…”

Section: Introductionmentioning

confidence: 99%

DOA Estimation for Coherent Sources Based on Uniformly Distributed Two Concentric Rings Array

Han,

Guo,

Yan

et al. 2023

Sensors

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The direction estimation of the coherent source in a uniform circular array is an essential part of the signal processing area of the array, but the traditional uniform circular array algorithm has a low localization accuracy and a poor localization effect on the coherent source. To solve this problem, this paper proposes a two-dimensional direction of arrival (DOA) estimation for the coherent source in broadband. Firstly, the central frequency of the coherent sound source is estimated using the frequency estimation method of the delayed data, and a real-valued beamformer is constructed using the concept of the multiloop phase mode. Then, the cost function in the beam space is obtained. Finally, the cost function is searched in two dimensions to locate the sound source. In this paper, we simulate the DOA of the sound source at different frequencies and signal-to-noise ratios and analyze the resolution of the circular array. The simulation results show that the proposed algorithm can estimate the direction of arrival with high precision and achieve the desired results.

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Enhanced angle estimation in MIMO radar: Combine RD-MUSIC and SDP optimization

Ahmad,

Zhang,

Lai

et al. 2024

AEU - International Journal of Electronics and Communications

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Two-dimensional direction-of-arrival estimation method based on interpolation fitting for airborne conformal MIMO radar in a multipath environment

Cited by 10 publications

References 33 publications

Multi-dimensional parameter estimation of uniform circular array electromagnetic vector sensor based on polarization-direction of arrival matrix

Multi-dimensional parameter estimation of uniform circular array electromagnetic vector sensor based on polarization-direction of arrival matrix

DOA Estimation for Coherent Sources Based on Uniformly Distributed Two Concentric Rings Array

Enhanced angle estimation in MIMO radar: Combine RD-MUSIC and SDP optimization

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