Ground‐Based Wireless Positioning

Yu, Kegen; Sharp, Ian; Guo, Yahong

doi:10.1002/9780470747988

Cited by 176 publications

(88 citation statements)

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“…For wireless localization, a method requiring hardware of just an existing wireless network is of particular interest, because no extra hardware is required for both the infrastructure and the mobile devices (MDs). Unfortunately, although many studies have investigated wireless localization [1][2][3][4][5], it is not straightforward to apply their results without requiring dedicated hardware or affecting the network protocol structure.…”

Section: Introductionmentioning

confidence: 99%

Performance limit of AOA-based localization using MIMO-OFDM channel state information

Demeechai

Kukieattikool

2017

J Wireless Com Network

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Wireless communication networks are increasingly based on the ubiquitous multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) modulation scheme. Their channel state information is generally obtained each time by a base station receiver as soon as a data packet is successfully received from a mobile device. As it has been shown recently that the MIMO-OFDM channel state information can be used for angle of arrival-based localization, this paper presents a theoretical investigation of the localization performance. The method of computing the Cramer-Rao lower bound, which represents the performance of a minimum variance unbiased estimator, is presented and then used for insightful investigation purposes by means of inspecting the viability of the system requirements and the design properties.

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Section: Introductionmentioning

confidence: 99%

Performance limit of AOA-based localization using MIMO-OFDM channel state information

Demeechai

Kukieattikool

2017

J Wireless Com Network

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“…The proposed method will simultaneously exploit and be constrained by WLAN characteristics whereby WLANs are trending toward asynchronous networks of multiple input, multiple output orthogonal frequency division multiplexing (MIMO-OFDM) access points (APs) [1]. Although many studies have investigated localization [2][3][4][5][6], it is not straightforward to apply their results to the problem of interest without requiring dedicated infrastructure or affecting the WLAN protocol structure. A few localization methods based on the IEEE 802.11 standards have been proposed in the literature [7][8][9] and implemented commercially.…”

Section: Introductionmentioning

confidence: 99%

Localization based on standard wireless LAN infrastructure using MIMO-OFDM channel state information

Demeechai

Kukieattikool

Ngo

et al. 2016

J Wireless Com Network

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An indoor localization method using multiple input, multiple output orthogonal frequency division multiplexing (MIMO-OFDM) channel state information (CSI) is proposed as a method that can be implemented on wireless local area networks of a current standard without affecting their protocol structures and that does not require a training process for adaptation to indoor environments. In the proposed method, the CSI obtained by the MIMO-OFDM receivers of all access points upon successful reception of a data packet from a mobile terminal (MT) is processed in order to determine the location of the MT. The proposed method analyzes the multipath effect that appears in the CSI as multiple complex sinusoids by using the matrix pencil method in order to extract only terms that are contributed by direct paths from the MT to the access points. Localization is achieved using the direct-path terms on the basis of the maximum likelihood principle.

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“…The problem of estimating the location of the beam target is a popular one which is tackled using several different techniques. Such techniques were summarized and presented in [2,3]. Each technique is based on a certain signal parameter being measured.…”

Section: Introductionmentioning

confidence: 99%

Real Time RSS Based Adaptive Beam Steering Algorithm for Autonomous Vehicles

Ibrahim¹,

Sharawi²

2014

PIER C

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Abstract-A real time, low complexity algorithm is developed to steer a planar patch antenna array beam to the maximum received signal strength (RSS) direction for communication link enhancement. The beam steering towards the maximum incoming signal direction is based on an iterative technique utilizing a set of RSS measurements taken from specific locations in the search space, these locations collectively form an ellipse. The algorithm is denoted as "elliptical peeking". It was simulated for a flying unmanned aerial vehicle (UAV) as the vehicle tries to identify the maximum signal strength incoming direction of a stationary ground signal and it was tested on an embedded platform to validate its low demand for computational power. Such an algorithm is suitable for autonomous platforms due to its simplicity and low cost.

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Ground‐Based Wireless Positioning

Cited by 176 publications

References 0 publications

Performance limit of AOA-based localization using MIMO-OFDM channel state information

Performance limit of AOA-based localization using MIMO-OFDM channel state information

Localization based on standard wireless LAN infrastructure using MIMO-OFDM channel state information

Real Time RSS Based Adaptive Beam Steering Algorithm for Autonomous Vehicles

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