2D DOA Estimation Algorithm by Nested Acoustic Vector-Sensor Array

Liu, Sheng; Zhao, Jing; Wu, Decheng

doi:10.1007/s00034-021-01831-5

Cited by 10 publications

(4 citation statements)

References 35 publications

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“…EMVS can obtain the polarization status of the emitted electromagnetic source, which plays an important role in detecting weak EM signals (Feng et al, 2020;Friedlander, 2018). Methods based on spatial spectrum estimation such as multiple signal classification (MUSIC) (Zheng et al,2020;Xie et al,2021;Yan et al,2021;Sedighi et al,2021), estimation of signal parameters via rotational invariance techniques (ESPRIT) (Liu et al 2022;Liu et al, 2021;Wen et al, 2021;Chintagunta et al, 2020), and propagation method (PM) (Wen & Shi, 2020;Zheng & Zhang, 2011) have been extensively applied in the vector array signal processing.…”

Section: Intruductionmentioning

confidence: 99%

Geometric Algebra based 2D-DOA Estimation for Non-circular Signals with an Electromagnetic Vector Array

Wang,

Feng,

et al. 2024

Digital Signal Processing

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Section: Intruductionmentioning

confidence: 99%

Geometric Algebra based 2D-DOA Estimation for Non-circular Signals with an Electromagnetic Vector Array

Wang,

Feng,

et al. 2024

Digital Signal Processing

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“…In practice, there will be a strong mutual coupling effect in this subarray. In [12], a sparse array consisting of multiple uniform arrays with adjustable element-spacing has been proposed and shows excellent performance in reducing mutual coupling. However, it is difficult for this array to use virtual elements to improve the degree of freedom of the array as the traditional sparse array.…”

Section: Introductionmentioning

confidence: 99%

DOA Estimation of Quasi-stationary Signals Based on a Separated Generalized Nested Array

Zhao,

Liu,

et al. 2024

PIER Letters

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This paper proposes a sparse array consisting of two separate generalized nested arrays. The unit element-spacing of each generalized nested array can be adjusted to multiple half-wavelengths of the incident signal. By adjusting the element-spacing, the mutual coupling effect can be greatly reduced. For this array, a direction of arrival (DOA) estimation method of quasi-stationary signals has also been proposed. By using the received signals of the separated generalized nested array, a signal subspace is obtained. Then, this subspace is filled into a higher-order signal subspace to avoid angle ambiguity. Using the higher-order signal subspace, DOAs of all signals can be estimated by spectral peak search. Simulation results show that the proposed separated generalized nested array has better performance than the conventional nested array in DOA estimation.

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“…To extend the array aperture to be much higher than a half-wavelength with a limited number of sensors, vector sensors are widely used in sensing systems [15][16][17][18][19][20][21][22][23]. This is because a complete acoustic vector sensor (AVS) consists of four components, three orthogonal velocity sensors and another pressure sensor, co-located in space.…”

Section: Introductionmentioning

confidence: 99%

“…However, these algorithms require nontrivial pair-matching computations between two independent sets of direction estimates. To extend the array aperture, the sensor/element-spacing of methods in [17][18][19][20] can be intentionally extended to be much higher than a half-wavelength and hence would provide an enhanced spatial resolution. To increase the achievable DOF, the idea of associating electromagnetic vector sensors and acoustic vector sensors with nested arrays were proposed in [22,23].…”

Section: Introductionmentioning

confidence: 99%

Hybrid T-Shaped Sensor Array Composed of Acoustic Vector Sensors and Scalar Sensors

Rao

2023

Electronics

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Through the more available acoustic information or the polarization information provided, vector sensor arrays outperform the scalar sensor arrays in accuracy of localization. However, the cost of a vector sensor array is higher than that of a scalar sensor array. To reduce the cost of a two-dimensional (2-D) vector sensor array, a hybrid T-shaped sensor array consisting of two orthogonal uniform linear arrays (ULAs) is proposed, where one ULA is composed of acoustic vector sensors and the other is composed of scalar sensors. By utilizing the cross-correlation tensor between the received signals from the two ULAs, two virtual uniform rectangular arrays (URAs) of acoustic vector sensors are obtained, and they can be combined into a larger URA. It is shown that a larger acoustic vector sensor URA with M2+1 degrees of freedom (DOFs) can be obtained from the specially designed T-shaped array with M acoustic vector sensors and 2M scalar sensors. Furthermore, by means of the proposed tensor model for the larger URA, the inter-sensor spacing can be allowed to exceed greatly a half-wavelength. Accordingly, the proposed method can achieve both a high DOF and a large array aperture. Simulation results show that the proposed method has a better performance in 2-D direction-of-arrival estimation than some existing methods under the same array cost.

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2D DOA Estimation Algorithm by Nested Acoustic Vector-Sensor Array

Cited by 10 publications

References 35 publications

Geometric Algebra based 2D-DOA Estimation for Non-circular Signals with an Electromagnetic Vector Array

Geometric Algebra based 2D-DOA Estimation for Non-circular Signals with an Electromagnetic Vector Array

DOA Estimation of Quasi-stationary Signals Based on a Separated Generalized Nested Array

Hybrid T-Shaped Sensor Array Composed of Acoustic Vector Sensors and Scalar Sensors

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