Association of DOA Estimation From Two ULAs

Bai, Li; Peng, Chun-Yang; Biswas, Saroj

doi:10.1109/tim.2007.915122

Cited by 31 publications

(6 citation statements)

References 20 publications

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“…3) Multiangulation: Multiangularation can be implemented by measuring the angles between the node and at least two BSs [47]. Theoretically, two BS-node angles can determine a 2D point.…”

Section: B Geometrical Localization Methodsmentioning

confidence: 99%

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Toward Location-Enabled IoT (LE-IoT): IoT Positioning Techniques, Error Sources, and Error Mitigation

Zhuang

et al. 2021

IEEE Internet Things J.

146

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Localization techniques are becoming key to add location context to Internet of Things (IoT) data without human perception and intervention. Meanwhile, the newly-emerged Low-Power Wide-Area Network (LPWAN) and 5G technologies have become strong candidates for mass-market localization applications. However, various error sources have limited localization performance by using such IoT signals. This paper reviews the IoT localization system through the following sequence: IoT localization system review -localization data sourceslocalization algorithms -localization error sources and mitigation -localization performance evaluation. Compared to the related surveys, this paper has a more comprehensive and state-of-theart review on IoT localization methods, an original review on IoT localization error sources and mitigation, an original review on IoT localization performance evaluation, and a more comprehensive review of IoT localization applications, opportunities, and challenges. Thus, this survey provides comprehensive guidance for peers who are interested in enabling localization ability in the existing IoT systems, using IoT systems for localization, or integrating IoT signals with the existing localization sensors.

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“…3) Multiangulation: Multiangularation can be implemented by measuring the angles between the node and at least two BSs [47]. Theoretically, two BS-node angles can determine a 2D point.…”

Section: B Geometrical Localization Methodsmentioning

confidence: 99%

“…4) AoA: AoA systems provide the node position by measuring BS-node angles [47]. The advantages of AoA positioning include (1) typical AoA localization systems can provide highaccuracy (e.g., decimeter-or centimeter-level) locations [48].…”

Section: Iot Localization Signal Measurementsmentioning

confidence: 99%

Toward Location-Enabled IoT (LE-IoT): IoT Positioning Techniques, Error Sources, and Error Mitigation

Zhuang

et al. 2021

IEEE Internet Things J.

146

View full text Add to dashboard Cite

show abstract

“…Triangulation, a typical AoA based PLAN method, computes the device location by using the direction measurements to multiple base stations that have known locations (Bai et al 2008). When direction measurement uncertainty is considered, the direction measurement from two base stations will intersect to a quadrilateral.…”

Section: Angle-based Methodsmentioning

confidence: 99%

Indoor navigation: state of the art and future trends

El‐Sheimy

2021

Satell Navig

158

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This paper reviews the state of the art and future trends of indoor Positioning, Localization, and Navigation (PLAN). It covers the requirements, the main players, sensors, and techniques for indoor PLAN. Other than the navigation sensors such as Inertial Navigation System (INS) and Global Navigation Satellite System (GNSS), the environmental-perception sensors such as High-Definition map (HD map), Light Detection and Ranging (LiDAR), camera, the fifth generation of mobile network communication technology (5G), and Internet-of-Things (IoT) signals are becoming important aiding sensors for PLAN. The PLAN systems are expected to be more intelligent and robust under the emergence of more advanced sensors, multi-platform/multi-device/multi-sensor information fusion, self-learning systems, and the integration with artificial intelligence, 5G, IoT, and edge/fog computing.

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“…Direction of arrival (DOA) estimation using array processing has focused much attention in these years and has been widely applied in many fields, such as wireless communication, radar, sonar, medicine and other engineering applications [1][2][3][4][5][6][7][8][9]. In the past decades, numerous subspace based DOA estimation algorithms, e.g., multiple signals classification (MUSIC) [10][11][12][13][14][15][16][17] and estimation of signal parameters via rotational invariance techniques (ESPRIT) [18][19][20][21][22], have been proposed for uniform linear arrays (ULA) [23,24] and attracted much attention due to their high resolution and performance. However, the adjacent antenna element spacing is required to be less than half wavelength so that the phase ambiguity problem [25] is avoided.…”

Section: Introductionmentioning

confidence: 99%

An Improved Ambiguity-free Unfolded Co-prime Linear Array Design for DOA Estimation

Gong,

Zhang

2023

Preprint

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This paper considers the direction of arrival (DOA) estimation problem of phase ambiguity for unfolded coprime linear array (UCLA). The existing most common stacking subarray-based method can tackle the phase ambiguity problem. However, the method is not always true. For a given DOA, it has its corresponding steering vector, but if there are two DOAs which have the same steering vectors with the given DOA for different subarrays, the phase ambiguity problem still arises. A modified method, which defines a decision variable and uses the classic beamforming technique to estimate the DOAs is proposed. However, this method needs additional algorithm to distinguish the true DOAs besides multiple signal classification (MUSIC) spectrum. And sometimes this method is not reliable if the decision variable is not chosen appropriately. Therefore, based on the UCLA, we reconstruct the array to design an improved UCLA called IUCLA. With moving the reference element, the linear relationship among the directional vectors can be broken. In this way, we can directly utilize the MUSIC algorithm to estimate with no additional algorithm. The proposed method can solve the phase ambiguity problem and it does not demand other technique to decrease the complexity. Moreover, the Cramer-Rao Bound (CRB), as the lower bound of the unbiased estimation, is provided and numerical simulations are given to demonstrate the effectiveness and superiority of the proposed method.

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Association of DOA Estimation From Two ULAs

Cited by 31 publications

References 20 publications

Toward Location-Enabled IoT (LE-IoT): IoT Positioning Techniques, Error Sources, and Error Mitigation

Toward Location-Enabled IoT (LE-IoT): IoT Positioning Techniques, Error Sources, and Error Mitigation

Indoor navigation: state of the art and future trends

An Improved Ambiguity-free Unfolded Co-prime Linear Array Design for DOA Estimation

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