Two-Dimensional Direction of Arrival Estimation for Improved Archimedean Spiral Array With MUSIC Algorithm

Chen, Jin; Guan, Sheng; Tong, Ying; Lei, Yan

doi:10.1109/access.2018.2867460

Cited by 18 publications

(15 citation statements)

References 8 publications

(15 reference statements)

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“…Despite these advantages, conventional DoA acquisition suffers from a number of challenges. Most DoA estimation techniques rely on an array-based hardware architecture, such as Bartlett algorithm 1–3 , Capon algorithm 4–7 , MUSIC algorithm 8–12 and ESPRIT algorithm 13–17 . Because these techniques require beam synthesis on the receiver side, the channel information is collected by means of synthesizing a composite aperture either mechanically, such as in synthetic aperture radar (SAR) 17–19 , or electronically, such as in phased arrays 20–24 .…”

Section: Introductionmentioning

confidence: 99%

Frequency-Diverse Computational Direction of Arrival Estimation Technique

Yurduseven

Abbasi

Fromenteze

et al. 2019

Sci Rep

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We present a frequency-diverse based direction of arrival (DoA) estimation technique for millimetre-wave (mmW) 5G channel sounding. Frequency-diversity enables the creation of spatially incoherent radiation masks to encode the plane-wave signals incident on the radar aperture using a single antenna. Leveraging the frequency-diversity concept, spatial information of the plane-wave projections on the radar aperture is retrieved, resulting in high-fidelity DoA estimations by means of a simple Fourier transform operation applied to the retrieved plane-wave projection patterns. It is demonstrated that using the frequency-diversity concept, DoA estimation can be achieved through a simple frequency sweep, compressing the incoming plane-waves into a single channel through the transfer function of the radar aperture. This results in a significant simplification in the system hardware, requiring only a single antenna to achieve DoA estimation. It is also shown that the proposed technique can simultaneously detect the DoA information for multiple sources with a diffraction limited resolution.

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Section: Introductionmentioning

confidence: 99%

Frequency-Diverse Computational Direction of Arrival Estimation Technique

Yurduseven

Abbasi

Fromenteze

et al. 2019

Sci Rep

View full text Add to dashboard Buy / Rent full text

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“…The multiple signal classification (MUSIC) algorithm was created by using MATLAB [29] to determine the direction of indoor incoming signal [30]- [34], where the algorithm has very high resolution and estimation precision and is ideal for circular array antenna topology. Note that the algorithm was implemented to determine the incoming signal direction for the four-, five-, six-, and eight-element circular array antennas by varying the number of incoming signals (2, 3, and 4 signals).…”

Section: Direction Of Arrival (Doa) and Distance Estimationmentioning

confidence: 99%

“…The direction of incoming signal can be determined by the estimated function of the MUSIC algorithm (see ( 3)) [30]- [34], where () a  is the steering vector corresponding to incoming signals,…”

Section: Direction Of Arrival (Doa) and Distance Estimationmentioning

confidence: 99%

Switched Beam Multi-Element Circular Array Antenna Schemes for 2D Single-Anchor Indoor Positioning Applications

Kawdungta

Chou

et al. 2021

IEEE Access

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This research investigates four switched-beam multi-element circular array antenna schemes operating at 2.4-2.5 GHz for two-dimensional (2D) single-anchor indoor positioning applications. The realization of the proposed antenna schemes involved two evolutionary stages: rectangular microstrip antenna with dielectric superstrate (i.e., element) and multi-element circular array antenna with radio frequency (RF) switch network. The number of elements of circular array antennas was varied between 4, 5, 6, and 8 elements. Multiple signal classification (MUSIC) algorithm was used to determine the direction of incoming signal and Friis transmission equation to estimate the transmission distance. Simulations were carried out, and results showed that the rectangular microstrip antenna with dielectric superstrate (one single element) achieved impedance matching (|S11|<-10 dB) in the frequency range of 2.4-2.5 GHz, with unidirectional radiation pattern and 6.65 dBi antenna gain. In addition, four-, five-, six-, and eight-element circular array antenna prototypes were fabricated and experiments carried out in an indoor environment with two, three, and four incoming signals. The experimental results indicated that the eight-element circular array antenna could be deployed to reliably determine signal direction and distance, particularly for indoor localization with two incoming signals. The novelty of this work lies in the potential use of switched-beam multi-element circular array antenna schemes in place of conventional adaptive array antennas for 2D indoor localization. Compared with the conventional adaptive array antennas, the proposed multi-element circular array antenna schemes are relatively low-cost and easy to fabricate.

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“…Many techniques have been proposed for measuring DOAs, such as MUSIC, ESPRIT and SAGE [16], [17]. For example, a linear array is utilized in [18] with the alternate elements orthogonally polarized, such that the estimation of azimuth/elevation angles can be conducted by only one-dimensional search in the MUSIC algorithm.…”

Section: Introductionmentioning

confidence: 99%

A DOA-Based Factor Graph Technique for 3D Multi-Target Geolocation

Cheng

Aziz²,

Matsumoto

2019

IEEE Access

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The primary goal of this paper is to propose a new factor graph (FG) technique for the directionof-arrival (DOA)-based three-dimensional (3D) multi-target geolocation. The proposed FG detector uses only the mean and the variance of the DOA measurement including both the azimuth and the elevation, assuming that they are suffering from errors following a Gaussian probability density function (PDF). Therefore, both the up-link (UL) transmission load and the detection complexity can be significantly reduced. The Cramer-Rao lower bound (CRLB) of the proposed DOA-based 3D geolocation system is mathematically derived. According to the root mean square error (RMSE) results obtained by simulations, the proposed FG algorithm is found to outperform the conventional linear least square (LS) approach, which achieves a very close performance to the derived CRLB. Moreover, we propose a sensor separation algorithm to solve the target-DOAs matching problem such that the DOAs, measured by each sensor, can be matched to their corresponding targets. With this technique, additional target identification is not needed, and the multi-target geolocation can be decomposed into multiple independent single-target detections.

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Two-Dimensional Direction of Arrival Estimation for Improved Archimedean Spiral Array With MUSIC Algorithm

Cited by 18 publications

References 8 publications

Frequency-Diverse Computational Direction of Arrival Estimation Technique

Frequency-Diverse Computational Direction of Arrival Estimation Technique

Switched Beam Multi-Element Circular Array Antenna Schemes for 2D Single-Anchor Indoor Positioning Applications

A DOA-Based Factor Graph Technique for 3D Multi-Target Geolocation

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