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

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

doi:10.1109/access.2018.2867460

Cited by 22 publications

(16 citation statements)

References 8 publications

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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

Fromentèze

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

Fromentèze

et al. 2019

Sci Rep

View full text Add to dashboard Cite

show abstract

“…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

Torrungrueng

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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“…The array signal model of narrowband sources can be simplified from the straightforward correlation between the DOA and the phase shift [5]- [7]. Methods for DOA estimation of narrowband sources have been presented in literatures, such as the maximum likelihood (ML) method [8], the multiple signal classification (MUSIC) algorithm [6], and the estimation of signal parameters via rotational invariance techniques (ESPRIT) [9].…”

Section: Introductionmentioning

confidence: 99%

Weighted Incoherent Signal Subspace Method for DOA Estimation on Wideband Colored Signals

Bai

et al. 2019

IEEE Access

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Wideband direction-of-arrival (DOA) estimation is a key part in array signal processing. The existing algorithms for the wideband DOA estimation are often studied in the situation of uniformly distributed energy. In addition, all the frequency bins are weighted equally in these algorithms. However, these algorithms perform unsatisfactorily when encountering wideband colored signals with nonuniform energy spectrum. To improve the performance of DOA estimation for wideband colored signals, we proposed two weighting methods, which are based on the perturbed subspace theory and random matrix theory, respectively. The two methods weight the space spectrum from all the frequency bins according to the mean square error of DOA estimation in each frequency bin. The numerical results show that the random matrix theory based method performs well, due to the inference premise that the dimensions of matrices increase at the same rate. The perturbed subspace-based method, which is concise in calculating the weights, shows high accuracy only at high-signal-to-noise ratio and with adequate snapshots. The effectiveness of the two algorithms are also demonstrated by comparing them to various existing algorithms and the Cramér-Rao bound.

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

Cited by 22 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

Weighted Incoherent Signal Subspace Method for DOA Estimation on Wideband Colored Signals

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