scholarly journals Research on 3D Fingerprint Positioning Based on MIMO Base Station

2021 ◽  
Author(s):  
Chang Xia ◽  
Yijie Ren ◽  
Xiaojun Wang ◽  
Weiguang Sun ◽  
Fei Tang ◽  
...  
Keyword(s):  
Reference Point ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Base Station ◽  
Localization Algorithm ◽  
Positioning Accuracy ◽  
Positioning Method ◽  
High Base ◽  
Effective Use ◽  
Three Dimensional Space

The aim of this article is to solve the problem that the accuracy of traditional positioning algorithm decreases in complex environment and to provide some ideas for the few researches of fingerprint localization algorithm in three-dimensional space. This paper builds a system model in a three-dimensional space, provides three reference point distribution methods, and discusses the positioning performance under these distribution methods. After that, based on the high base station deployment density, multi-point fusion positioning method is used to locate the target, which further improves the positioning accuracy and makes more effective use of reference point resources. Finally, a backward-assisted positioning method is proposed, which uses the position information of the positioned points to assist the positioning of the current point. Research shows that this method can improve the positioning accuracy and has good versatility. (Foundation items: Social Development Projects of Jiangsu Science and Technology Department (No.BE2018704).)

Parallax errors in cubic illuminance measurement

2020 ◽  
Vol 52 (7) ◽  
pp. 915-936
Author(s):  
RA Mangkuto ◽  
Revantino
Keyword(s):  
Reference Point ◽  
Dimensional Space ◽  
Linear Trend ◽  
Three Dimensional ◽  
Finite Size ◽  
Maximum Error ◽  
Beam Angle ◽  
Point Distance ◽  
True Values ◽  
Three Dimensional Space

The cubic illuminance concept has long been proposed to indicate light modelling in three-dimensional space. An issue relatively less discussed with regard to its measurement is the potential error due to the finite size of the cube centred at the reference point, yielding a parallax effect. In short, the measured cubic illuminance around a finite-sized object will differ from the designed values that are based on the assumption that the object is a point in space. This paper therefore aims to determine the frequency distribution of errors in estimating scalar ( Esr) and cylindrical ( Ecl) illuminances, vector to scalar illuminance ratio, and cylindrical to horizontal illuminance ratio, due to finite cube size. General uncertainty principle in measurement is employed by introducing random values of cube length and its spatial position. A linear trend is observed between cubic illuminance on the finite cube and the corresponding true values. The Esr and Ecl are approximated more accurately in the case of a point source with a small beam angle. The cube length also influences the accuracy of the results; larger cube length tends to yield less accurate estimations. To achieve maximum error of 20% in estimating Esr and Ecl for a given source–reference point distance, the cube length should not exceed 15% of such a distance.

Localization Algorithm for Three-Dimensional Space of Building Based on ZigBee Wireless Networks

2014 ◽  
Vol 926-930 ◽  
pp. 1546-1549
Author(s):  
Yun Hong Liu ◽  
Tong Wei Niu
Keyword(s):  
Wireless Networks ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Signal Strength ◽  
High Accuracy ◽  
Localization Algorithm ◽  
Received Signal Strength Indicator ◽  
Spatial Environment ◽  
The Impact ◽  
Three Dimensional Space

ZigBee wireless networks can be used for locating the objects monitored inside the building, in which the location method based on RSSI (Received Signal Strength Indicator) has a broad range of application. For the complex spatial environment of the building, a three-dimensional localization algorithm will be proposed in this paper which can achieve high accuracy of location, meanwhile mitigate the impact of the RSSI error on the location results efficiently. This method is applicable to the NLOS environment in condition of multi-barrier.

Extension of the Spatial PDI Model to Three Dimensions

1997 ◽  
Vol 84 (1) ◽  
pp. 176-178
Author(s):  
Frank O'Brien
Keyword(s):  
Population Density ◽  
Dimensional Space ◽  
Finite Lattice ◽  
Three Dimensional ◽  
Upper Bounds ◽  
Three Dimensions ◽  
Lower And Upper Bounds ◽  
Density Index ◽  
Three Dimensional Space

The author's population density index ( PDI) model is extended to three-dimensional distributions. A derived formula is presented that allows for the calculation of the lower and upper bounds of density in three-dimensional space for any finite lattice.

A Peptoid with Extended Shape in Water

2019 ◽  
Author(s):  
Jumpei Morimoto ◽  
Yasuhiro Fukuda ◽  
Takumu Watanabe ◽  
Daisuke Kuroda ◽  
Kouhei Tsumoto ◽  
...  
Keyword(s):  
Spectroscopic Analysis ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Biomolecular Recognition ◽  
Biological Application ◽  
New Class ◽  
Proteolytic Resistance ◽  
Pharmacokinetic Properties ◽  
Optically Pure ◽  
Three Dimensional Space

<div> <div> <div> <p>“Peptoids” was proposed, over decades ago, as a term describing analogs of peptides that exhibit better physicochemical and pharmacokinetic properties than peptides. Oligo-(N-substituted glycines) (oligo-NSG) was previously proposed as a peptoid due to its high proteolytic resistance and membrane permeability. However, oligo-NSG is conformationally flexible and is difficult to achieve a defined shape in water. This conformational flexibility is severely limiting biological application of oligo-NSG. Here, we propose oligo-(N-substituted alanines) (oligo-NSA) as a new peptoid that forms a defined shape in water. A synthetic method established in this study enabled the first isolation and conformational study of optically pure oligo-NSA. Computational simulations, crystallographic studies and spectroscopic analysis demonstrated the well-defined extended shape of oligo-NSA realized by backbone steric effects. The new class of peptoid achieves the constrained conformation without any assistance of N-substituents and serves as an ideal scaffold for displaying functional groups in well-defined three-dimensional space, which leads to effective biomolecular recognition. </p> </div> </div> </div>

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