Wireless Positioning: Fundamentals, Systems and State of the Art Signal Processing Techniques

Zhang, Lingwen; Tao, Cheng; Yang, Gang

doi:10.5772/14841

Cited by 9 publications

(5 citation statements)

References 36 publications

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“…The authors were inspired by the experience of using directional antennas in radar, when the spatial coordinates of an object are determined with high accuracy due to the analysis of tension levels in the vertical and horizontal planes [14]. At the same time, the channel bandwidth due to MIMO technology is more than enough to implement the exchange of service information, and the use of existing Kalman [15] or Madgwik [7] filtering algorithms will allow prediction of CAP deviation based on received signals.…”

Section: Issn 2664-9969mentioning

confidence: 99%

FANET management process simulation at the deployment and operation stage

Bieliakov,

Fesenko

2023

TAPR

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The object of the study is the process of managing the air network of air communication platforms of the FANET class (Flying Ad-Hoc Network), which is a component of the ground-air communication network, and which is performed on rotary unmanned aerial vehicles (UAVs) of the mini class, at the stage of deployment and operational management. The scientific research is aimed at the managing process formalization of aerial communication platforms of the air communication network in the implementation of two classes of management tasks – the class of traffic management tasks and the class of communication tasks. The analysis of this subject area showed that the management tasks at the stage of deployment and operational management of the air subnet are a multi-parameter optimization task and require the formation of control solutions at the OSI physical, channel and network levels, open systems interaction model. Tasks related to the adaptive management of radio coverage in zones (geographic areas of the area), including the clustering of terrestrial subscribers (communication nodes), were not considered, and relate to processes at the transport and application levels. At the same time, the article shows the mathematical apparatus of the approach to the compensation of the deviations of the trajectory of an unmanned aerial vehicle (UAV) in the conditions of a directional obstacle, which will allow the formation of control solutions for adaptive control, directional patterns at the output of the transmission path. Such compensation is carried out using methods of algorithmic exchange of probes (messages) between the mobile base station and communication platforms with a certain periodicity – solutions at the channel and network levels, as well as the use of Multi User MIMO technologies. This technology allows for information exchange with several client devices at the same time, and not sequentially, sending probes to several spacecraft on one channel, using several transmitting and receiving antennas, and the calculation of channel coefficients allows to estimate the azimuthal angle of deviation and the angle of elevation.

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Section: Issn 2664-9969mentioning

confidence: 99%

FANET management process simulation at the deployment and operation stage

Bieliakov,

Fesenko

2023

TAPR

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“…Computing these distances by TOA data is most commonly adopted in low-density WSNs due to their insensitivity to inter-device distances compared to other types of data used in range-based localization such as time-difference-of-arrival (TDOA), received-signal-strength (RSS) or angle-of-arrival (AOA) data [15]. Iterative localization methods using GD are widely used due to their noise immunity compared to analytical methods [16], and low computational complexity [17].…”

Section: Cs-based Gradient Descent Localization In Wsnsmentioning

confidence: 99%

Short Word-Length Entering Compressive Sensing Domain: Improved Energy-Efficiency in Wireless Sensor Networks

Alwan¹,

Hussain²

2021

Preprint

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This work combines compressive sensing and short word-length techniques to achieve localization and target tracking in wireless sensor networks with energy-efficient communication between the network anchors and the fusion center. Gradient descent localization is performed using time-of-arrival (TOA) data which are indicative of the distance between anchors and the target thereby achieving range-based localization. The short word-length techniques considered are delta modulation and sigma-delta modulation. The energy efficiency is due to the reduction of the data volume transmitted from anchors to the fusion center by employing any of the two delta modulation variants with compressive sensing techniques. Delta modulation allows the transmission of one bit per TOA sample. The communication energy efficiency is increased by RⱮ, R≥1, where R is the sample reduction ratio of compressive sensing and Ɱ is the number of bits originally present in a TOA-sample word. It is found that the localization system involving sigma-delta modulation has a superior performance to that using delta-modulation or pure compressive sampling alone, in terms of both energy efficiency and localization error in the presence of TOA measurement noise, owing to the noise shaping property of sigma-delta modulation.

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“…Computing these distances by TOA data is most commonly adopted in low-density WSNs due to their insensitivity to inter-device distances compared to other types of data used in range-based localization such as timedifference-of-arrival (TDOA), received-signal-strength (RSS) or angle-of-arrival (AOA) data [15]. Iterative localization methods using GD are widely used due to their noise immunity compared to analytical methods [16] and low computational complexity [17].…”

Section: Cs-based Gradient Descent Localization In Wsnsmentioning

confidence: 99%

“…The normalized energy consumption in transmitting one bit is taken as unity. Therefore, E for the CS system can be expressed as 𝐸 = 315 * Ɱ * 𝑁 𝑅(16) and for the CS-DM and CS-SDM systems as: 𝑁 = 5, 𝑅 = (1 + 𝑇 )/2 = 3 for 𝑇 = 5, and Ɱ is made variable as shown. The energy efficiency achieved using SWL is evident.…”

mentioning

confidence: 99%

Short Word-Length Entering Compressive Sensing Domain: Improved Energy Efficiency in Wireless Sensor Networks

Alwan

Hussain

2021

Information

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This work combines compressive sensing and short word-length techniques to achieve localization and target tracking in wireless sensor networks with energy-efficient communication between the network anchors and the fusion center. Gradient descent localization is performed using time-of-arrival (TOA) data which are indicative of the distance between anchors and the target thereby achieving range-based localization. The short word-length techniques considered are delta modulation and sigma-delta modulation. The energy efficiency is due to the reduction of the data volume transmitted from anchors to the fusion center by employing any of the two delta modulation variants with compressive sensing techniques. Delta modulation allows the transmission of one bit per TOA sample. The communication energy efficiency is increased by RⱮ, R ≥ 1, where R is the sample reduction ratio of compressive sensing, and Ɱ is the number of bits originally present in a TOA-sample word. It is found that the localization system involving sigma-delta modulation has a superior performance to that using delta-modulation or pure compressive sampling alone, in terms of both energy efficiency and localization error in the presence of TOA measurement noise and transmission noise, owing to the noise shaping property of sigma-delta modulation.

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Wireless Positioning: Fundamentals, Systems and State of the Art Signal Processing Techniques

Cited by 9 publications

References 36 publications

FANET management process simulation at the deployment and operation stage

FANET management process simulation at the deployment and operation stage

Short Word-Length Entering Compressive Sensing Domain: Improved Energy-Efficiency in Wireless Sensor Networks

Short Word-Length Entering Compressive Sensing Domain: Improved Energy Efficiency in Wireless Sensor Networks

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