Beamforming for Direction-of-Arrival (DOA) Estimation-A Survey

Krishnaveni, Dr. V Krishnaveni Dr. V; Kesavamurthy, T; Aparna., B

doi:10.5120/9970-4758

Cited by 54 publications

(31 citation statements)

References 46 publications

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“…This use is based on several communication technologies and calculation methods of AoA. In [3] and [4] [9] or Subspace-Based as MUSIC (Multiple Signal Classification) [11].…”

Section: State Of the Artmentioning

confidence: 99%

Performances Analysis of a System of Localization by Angle of Arrival UWB Radio

Diagne¹,

Val²,

Farota³

et al. 2020

IJCNS

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The increasingly widespread use of sensor and actuator networks and in general of the Internet of Things (IoT) in several areas of precision, imposes upon localization systems that can often equip them with a robust and more precise localization. It is in this sense that UWB technology has proved to be one of the most powerful communication technologies for these localization systems; thanks, in particular to the bandwidth occupied instantaneously by the signal allowing a very fine temporal resolution. Constructors have set up localization kits based on various technologies. These kits facilitate in a way the work of localization of users. In this paper, we present results on the performance study of the Decawave PDoA Kit. This Kit uses the PDoA (Phase Difference of Arrival) to determine the Angle of Arrival (AoA) parameter with UWB technology. This study is in context of localization by AoA for an application to protect agricultural crops against grain-eating birds. The results of the study show overall AoA measurement errors around 10 degrees in an ideal environment.

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“…This use is based on several communication technologies and calculation methods of AoA. In [3] and [4] [9] or Subspace-Based as MUSIC (Multiple Signal Classification) [11].…”

Section: State Of the Artmentioning

confidence: 99%

Performances Analysis of a System of Localization by Angle of Arrival UWB Radio

Diagne¹,

Val²,

Farota³

et al. 2020

IJCNS

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“…where, s(m) is the incident signal at time instant m and n(m) is additive complex-valued spatiotemporal white Gaussian noise with a mean of zero and a variance of σ 2 n which are both prior known [33,34,13,11,35,8,36,37,38,39,40,41,1,42,5].…”

Section: The Data Modelmentioning

confidence: 99%

“…Several algorithms exist to address the problem of estimating azimuth-polar AoA of multiple sources using the signal received at the array of sensors [5]. Some of the already used methods of DF are: Maximum likelihood (ML) [6], MUSIC (MUltiple SIgnal Classification) which is a highly popular eigenstructure-based direction-of-arrival estimation problem method applicable to a non-uniformly spaced array of sensors [7,8], ESPRIT (Estimation of Signal Parameters via Rotational Invariance Technique) [9], Cramér-Rao Bound (CRB) which has been found to be the most accurate technique in DF and the simplest due to its simplicity in computations [10], and other techniques.…”

Section: Introductionmentioning

confidence: 99%

Aperture Maximization with Half-Wavelength Spacing, via a 2-Circle Concentric Array Geometry that is Uniform but Sparse

Kinyili

Kitavi

Ngari

2019

JAMCS

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This paper proposes a new sensor-array geometry (the 2-circle concentric array geometry), that maximizes the array's spatial aperture mainly for bivariate azimuth-polar resolution of direction-of-arrival estimation problem. The proposed geometry provides almost invariant azimuth angle coverage and oers the advantage of full rotational symmetry (circular invariance) while maintaining an inter-sensor spacing of only an half wavelength (for non-ambiguity withrespect to the Cartesian direction cosines). A better-accurate performance in direction nding of the proposed array grid over a single ring array geometry termed as uniform circular array (UCA) is hereby analytically veried via Cramer-Rao bound analysis. Further, the authors demonstrate that the proposed sensor-array geometry has better estimation accuracy than a single ring array.

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“…The problem of central interest herein is that of the angles of arrival estimation which can be stated in the following way: The received signals are, therefore, linear combinations of the incident signals and noise. By carrying out observations based on the number of snapshots, the received vector at the antennas array output ( ) ∈ ℂ × can be modeled as [9], [11]:…”

Section: Signal Modelmentioning

confidence: 99%

“…The most widely used and most popular are: Bartlett method [4], Capon method [5], the maximum entropy method [6], Multiple Signal Classification (MUSIC) [7], the minimum norm technique [1], and Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) [8] etc. Generally, the DOA estimation techniques can be classified into two main categories: beam-scan approaches and subspace approaches [9]- [10]. The beam-scan techniques form a conventional beam, scans it over the appropriate region and plots the magnitude squared of output.…”

mentioning

confidence: 99%

Improved Polynomial Rooting of Capon's Algorithm to Estimate the Direction-of-Arrival in Smart Array Antenna

Naceur

2018

J. Microw. Optoelectron. Electromagn. Appl.

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Direction of arrival algorithms are used, in general, to estimate a number of incident plane waves on the antenna array and their angles of incidence. In this paper, firstly, a new approach representing a more extensive version of the conventional Capon method is proposed. The study employs the root-Capon approach based on cross-correlation matrix in extracting the estimated direction-of-arrival of some number of signals to a given uniform linear array (ULA) antenna system. Secondly, a simple modification on the antenna element's number is employed for the Capon and the proposed approach to obtain more performances. The effectiveness of the proposed algorithm is verified through numerical simulation examples, and it is shown that the root version of Capon method can provide more accurate angle estimation with less computational complexity than conventional Capon algorithm. Similarly, it is found also that the used modification plays a significant role in the performance's improvement of Capon and its variant approaches.

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Beamforming for Direction-of-Arrival (DOA) Estimation-A Survey

Cited by 54 publications

References 46 publications

Performances Analysis of a System of Localization by Angle of Arrival UWB Radio

Performances Analysis of a System of Localization by Angle of Arrival UWB Radio

Aperture Maximization with Half-Wavelength Spacing, via a 2-Circle Concentric Array Geometry that is Uniform but Sparse

Improved Polynomial Rooting of Capon's Algorithm to Estimate the Direction-of-Arrival in Smart Array Antenna

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