Wideband coherent sources localization based on a two-node distributed sensor networks

Zhang, Yong; He, Peiyu; Wang, Haijiang

doi:10.1016/j.sigpro.2015.10.024

Cited by 4 publications

(3 citation statements)

References 31 publications

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“…24 Although it does not depend on precise time synchronization, every node should have additional circuitry to generate and detect two different signals. The fourth method is angle of arrival; WCSL 25 uses the angle of arrival information at 2 node array of sensors to estimate the distance between nodes, but this method requires a highly accurate directional antenna with a narrow beam.…”

Section: Related Workmentioning

confidence: 99%

Comparative node selection‐based localization technique for wireless sensor networks: A bilateration approach

Tabassum

Devanagavi

Biradar

et al. 2020

Int J Communication

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Summary Wireless sensor networks find extensive applications, such as environmental and smart city monitoring, structural health, and target location. To be useful, most sensor data must be localized. We propose a node localization technique based on bilateration comparison (BACL) for dense networks, which considers two reference nodes to determine the unknown position of a third node. The mirror positions resulted from bilateration are resolved by comparing their coordinates with the coordinates of the reference nodes. Additionally, we use network clustering to further refine the location of the nodes. We show that BACL has several advantages over Energy Aware Co‐operative Localization (EACL) and Underwater Recursive Position Estimation (URPE): (1) BACL uses bilateration (needs only two reference nodes) instead of trilateration (that needs three reference nodes), (2) BACL needs reference (anchor) nodes only on the field periphery, and (3) BACL needs substantially less communication and computation. Through simulation, we show that BACL localization accuracy, as root mean square error, improves by 53% that of URPE and by 40% that of EACL. We also explore the BACL localization error when the anchor nodes are placed on one or multiple sides of a rectangular field, as a trade‐off between localization accuracy and network deployment effort. Best accuracy is achieved using anchors on all field sides, but we show that localization refinement using node clustering and anchor nodes only on one side of the field has comparable localization accuracy with anchor nodes on two sides but without clustering.

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Section: Related Workmentioning

confidence: 99%

Comparative node selection‐based localization technique for wireless sensor networks: A bilateration approach

Tabassum

Devanagavi

Biradar

et al. 2020

Int J Communication

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“…Under such condition, a small bias of the estimated angle may cause incorrect location detection. Therefore, transmitter localization with high accuracy can be an important task in specific applications such as radar, wireless communications, wireless sensor networks, and military purposes . Generally, such a process may involve joint estimation of frequencies, phase shifts, DOA, and time difference of arrival (TOA) .…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, transmitter localization with high accuracy can be an important task in specific applications such as radar, wireless communications, wireless sensor networks, and military purposes. [8][9][10][11] Generally, such a process may involve joint estimation of frequencies, phase shifts, DOA, and time difference of arrival (TOA). 12 One approach called a joint estimation of DOA to rely on a time delay of the received signal.…”

mentioning

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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A DOA-Based Spatial Information Focusing Scheme for Mobile Multi-users in A 2 × 1 MISO System

Zhang

Zhu

et al. 2017

Wireless Pers Commun

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Wideband coherent sources localization based on a two-node distributed sensor networks

Cited by 4 publications

References 31 publications

Comparative node selection‐based localization technique for wireless sensor networks: A bilateration approach

Comparative node selection‐based localization technique for wireless sensor networks: A bilateration approach

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

A DOA-Based Spatial Information Focusing Scheme for Mobile Multi-users in A 2 × 1 MISO System

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