Robust Nonlinear Array Interpolation for Direction of Arrival Estimation of Highly Correlated Signals

Marinho, Marco A. M.; Antreich, Felix; Caizzone, Stefano; Costa, João Paulo; Vinel, Alexey; Freitas, Edison Pignaton de

doi:10.1016/j.sigpro.2017.09.025

Cited by 8 publications

(11 citation statements)

References 21 publications

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“…[24], [25], [41], the likelihood functions and estimators for geometric array models like ULA or URA are well known. In fact, the common model used there is of the same form as (34). The difference is that A(θ, φ) is called steering matrix and describes phase relationships between the antennas, while in our case A(θ, φ) is the antenna response matrix containing gain and phase information.…”

Section: B Coherent Doa Estimationmentioning

confidence: 99%

“…As our MMA prototype has different polarizations on different ports, we can apply methods from diversely polarized array processing [46], [47]. We define partial antenna response vectors for a single signal and antenna port m Defining γ = [γ 1 , ..., γ P ] T and β = [β 1 , ..., β P ] T for P arriving signals, we can construct the antenna response matrix A(θ, φ, γ, β) = a(θ 1 , φ 1 , γ 1 , β 1 ) ... a(θ P , φ P , γ P , β P ) and extend the signal model (34) to…”

Section: Joint Doa and Polarization Estimationmentioning

confidence: 99%

“…For the 3D section we use WM with spherical harmonic functions (16) as basis and U = 144 coefficients to generate the received signals based on (20) and (34), which allows to show results for a finer θ and φ grid of 1 • compared to the original EMF simulation data with 5 • grid. For the estimator we use spherical harmonic functions with U = 64 ≈ 8κ 2 R 2 s + 4κR s + 1 coefficients.…”

Section: B 3d Doa Estimationmentioning

confidence: 99%

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On the Potential of Multi-Mode Antennas for Direction-of-Arrival Estimation

Pöhlmann

Almasri

Zhang

et al. 2019

IEEE Trans. Antennas Propagat.

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A multi-mode antenna (MMA) can be an interesting alternative to a conventional phased antenna array for directionof-arrival (DoA) estimation. By MMA we mean a single physical radiator with multiple ports, which excite different characteristic modes. In contrast to phased arrays, a closed-form mathematical model of the antenna response, like a steering vector, is not straightforward to define for MMAs. Instead one has to rely on calibration measurement or electromagnetic field (EMF) simulation data, which is discrete. To perform DoA estimation, an array interpolation technique (AIT) and wavefield modeling (WM) are suggested as methods with inherent interpolation capabilities, fully taking antenna nonidealities like mutual coupling into account. We present a non-coherent DoA estimator for low-cost receivers and show how coherent DoA estimation and joint DoA and polarization estimation can be performed with MMAs. Utilizing these methods, we assess the DoA estimation performance of an MMA prototype in simulations for both 2D and 3D cases. The results show that WM outperforms AIT for high SNR. The coherent estimation is superior to non-coherent, especially in 3D, because non-coherent suffers from estimation ambiguities. In conclusion, DoA estimation with a single MMA is feasible and accurate.

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Section: B Coherent Doa Estimationmentioning

confidence: 99%

Section: Joint Doa and Polarization Estimationmentioning

confidence: 99%

Section: B 3d Doa Estimationmentioning

confidence: 99%

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On the Potential of Multi-Mode Antennas for Direction-of-Arrival Estimation

Pöhlmann

Almasri

Zhang

et al. 2019

IEEE Trans. Antennas Propagat.

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“…A novel signal processing framework is addressed where the array time samples are considered in the DOA-frequency scheme using a singlestage problem [24]and designing a smart antenna system and their monitoring strategy are briefly described in [25]. Also, two novel methods named-unscented transform (UT) method and principal component analysis (PCA) method are briefly discussed considering the mutual coupling effect [26]. Besides, compressive antenna arrays are briefly discussed for narrowband direction of arrival (DOA) estimation to find out the larger aperture along with a diminutive hardware complexity [27].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Linearly arranged Concentric Circular Antenna Array with Low Sidelobe Level and Beamwidth Using Robust Tapering Technique.

Rahaman

Reza

Hossain

et al. 2021

Preprint

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In this research, a novel antenna array named Linearly arranged Concentric Circular Antenna Array (LCCAA) is proposed concerning lower beamwidth, lower sidelobe level, sharp ability to detect the false signal, and impressive SINR performance. The performance of the proposed LCCAA beamformer is compared with geometrically identical existing beamformers using the conventional technique where the LCCAA beamformer shows the lowest beamwidth and sidelobe level(SLL) of 12.50°and -15.17 dB in equal element accordingly. However, the performance gets degraded due to looking direction error, and robust techniques- fixed diagonal loading (FDL), optimal diagonal loading (ODL), and variable diagonal loading (VDL) are applied to all the potential arrays to minimize this problem. Furthermore, the LCCAA beamformer is further simulated to reduce the sidelobe applying tapering techniques where the hamming window shows the best performance having 17.097 dB less sidelobe level compared to the uniform window. The proposed structure is also analyzed under a robust tapered (VDL-hamming) method which reduces around 69.92 dB and 48.39 dB more sidelobe level compared to conventional and robust techniques. Analyzing all the performances, it is clear that the proposed LCCAA beamformer is superior and provides the best performance with the proposed robust tapered (VDL-hamming) technique.

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“…One of the problems is considered to be the low signal‐to‐noise ratio (SNR) value of the signal . Another point to consider is the precision of the deterministic matrix for the signal representation . The calculation process in the DOA estimation normally uses a large number of snapshots to achieve accuracy .…”

Section: Introductionmentioning

confidence: 99%

A probabilistic‐based approach for direction‐of‐arrival estimation and localization of multiple sources

Abdelbari¹,

Bilgehan²

2020

Int J Communication

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Summary This article contributes to science at two points. The first contribution is at a point of introducing a novel direction‐of‐arrival (DOA) estimation method which based on subspaces methods called Probabilistic Estimation of Several Signals (PRESS). The PRESS method provides higher resolution and DOA accuracy than current models. Second contribution of the article is at a point of localizing the unknown signal source. The process of localization achieved by using DOA information for the first time. The importance of localization exists in a large area of engineering applications. The aim is to determine the location of multiple sources by using PRESS with minimum effort of computation. We used the maximum probabilistic process in this study. Initially, all the signals are collected by the array of sensors and accurately identified using the proposed algorithm. The receiver at the best in test estimates the source location using only the knowledge of the geographical latitude and longitude values of the array of sensors. Several test points with an accurately calculated angle of arrival enable us to draw linear lines towards the transmitter. The transmitter location can be accurately identified with the line of interceptions. Simulation and numerical results show the outstanding performance of both the DOA estimation method and transmitter localization approach compared with many classical and new DOA estimation methods. The PRESS localization method first tested at 19°, 26°, and 35° with an signal‐to‐noise ratio (SNR) value of ‐5 dB. The PRESS method produced results with an extremely low bias of 0 and 0.00080°. The simulation tests are repeated and produced results with zero bias, which give the exact location of the unknown source.

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Robust Nonlinear Array Interpolation for Direction of Arrival Estimation of Highly Correlated Signals

Cited by 8 publications

References 21 publications

On the Potential of Multi-Mode Antennas for Direction-of-Arrival Estimation

On the Potential of Multi-Mode Antennas for Direction-of-Arrival Estimation

Performance Analysis of Linearly arranged Concentric Circular Antenna Array with Low Sidelobe Level and Beamwidth Using Robust Tapering Technique.

A probabilistic‐based approach for direction‐of‐arrival estimation and localization of multiple sources

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