scholarly journals Neural Fuzzy Based Indoor Localization by Extending Kalman Filtering with Propagation Channel Modeling

Kalman Filter ◽  
10.5772/9596 ◽  
2010 ◽  
Author(s):  
Bing-Fei Wu ◽  
Cheng-Lung Jen ◽  
Kuei-Chung Chang
Keyword(s):  
Kalman Filtering ◽  
Indoor Localization ◽  
Channel Modeling ◽  
Propagation Channel ◽  
Neural Fuzzy

Brief review on PE method application to propagation channel modeling in sea environment

2012 ◽  
Vol 2 (1) ◽  
Author(s):  
Irina Sirkova
Keyword(s):  
Wave Propagation ◽  
Fourier Transform ◽  
Parabolic Equation ◽  
Initial Conditions ◽  
Channel Modeling ◽  
Radio Propagation ◽  
Propagation Channel ◽  
Tropospheric Propagation ◽  
Propagation Modeling ◽  
Wave Propagation Modeling

AbstractThis work provides an introduction to one of the most widely used advanced methods for wave propagation modeling, the Parabolic Equation (PE) method, with emphasis on its application to tropospheric radio propagation in coastal and maritime regions. The assumptions of the derivation, the advantages and drawbacks of the PE, the numerical methods for solving it, and the boundary and initial conditions for its application to the tropospheric propagation problem are briefly discussed. More details are given for the split-step Fourier-transform (SSF) solution of the PE. The environmental input to the PE, the methods for tropospheric refractivity profiling, their accuracy, limitations, and the average refractivity modeling are also summarized. The reported results illustrate the application of finite element (FE) based and SSF-based solutions of the PE for one of the most difficult to treat propagation mechanisms, yet of great significance for the performance of radars and communications links working in coastal and maritime zones — the tropospheric ducting mechanism. Recent achievements, some unresolved issues and ongoing developments related to further improvements of the PE method application to the propagation channel modeling in sea environment are highlighted.

Microwave Propagation Channel Modeling in a Vehicle Engine Compartment

2016 ◽  
Vol 65 (9) ◽  
pp. 6831-6841 ◽  
Author(s):  
Hirokazu Kamoda ◽  
Shoichi Kitazawa ◽  
Naoya Kukutsu ◽  
Kiyoshi Kobayashi ◽  
Tomoaki Kumagai
Keyword(s):  
Channel Modeling ◽  
Engine Compartment ◽  
Propagation Channel ◽  
Microwave Propagation ◽  
Vehicle Engine

scholarly journals Directional propagation channel estimation and analysis in urban environment with panoramic photography

2012 ◽  
Vol 4 (1) ◽  
pp. 3-13 ◽  
Author(s):  
Jean-Marc Conrat ◽  
Patrice Pajusco
Keyword(s):  
Channel Estimation ◽  
Urban Environment ◽  
Noise Level ◽  
Three Dimensional ◽  
Direction Of Arrival ◽  
Channel Modeling ◽  
Propagation Channel ◽  
Physical Understanding ◽  
Electro Magnetic ◽  
Magnetic Waves

This article aims to provide readers with a physical understanding of the propagation channel that is complementary to mathematical channel modeling. It presents an analysis of the directional propagation channel based on radiophotos. Radiophotos are graphical objects where directions of arrival are superimposed on three-dimensional (3D) panoramic photographs. The interaction between electro magnetic waves and the environment is immediately identified with these representations. This paper focuses on the direction of arrival at mobile in an urban macrocell environment. The first radiophoto collection illustrates the major propagation phenomena such as reflection, diffraction, or street canyoning. The second collection illustrates typical propagation channel profiles that are classified according to delay, azimuth, and elevation spread values. The paper also describes an original panorama-based method for estimating noise level in the azimuth–elevation domain.

Propagation Channel Modeling for Transient Communication: An Antenna-Dependent Perspective

2018 ◽  
Vol 66 (11) ◽  
pp. 6225-6232
Author(s):  
Yifan Chen ◽  
Qingfeng Zhang ◽  
Rui Wang ◽  
Putri Santi Anwar ◽  
Limin Huang ◽  
...  
Keyword(s):  
Channel Modeling ◽  
Propagation Channel

scholarly journals Photography Trilateration Indoor Localization with Image Sensor Communication

Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3290 ◽  
Author(s):  
Nam Tuan Le ◽  
Yeong Min Jang
Keyword(s):  
Indoor Localization ◽  
Distance Estimation ◽  
Channel Modeling ◽  
Image Sensor ◽  
Error Rates ◽  
Localization Scheme ◽  
Wide Range ◽  
Successful Approach ◽  
Smart Mobile ◽  
The Internet Of Things

Localization has become an important aspect in a wide range of mobile services with the integration of the Internet of things and service on demand. Numerous mechanisms have been proposed for localization, most of which are based on the estimation of distances. Depending on the channel modeling, each mechanism has its advantages and limitations on deployment, exhibiting different performances in terms of error rates and implementation. With the development of technology, these limitations are rapidly overcome with hybrid systems and enhancement schemes. The successful approach depends on the achievement of a low error rate and its controllability by the integration of deployed products. In this study, we propose and analyze a new distance estimation technique employing photography and image sensor communications, also named optical camera communications (OCC). It represents one of the most important steps in the implemented trilateration localization scheme with real architectures and conditions of deployment which is the second our contribution for this article. With the advantages of the image sensor hardware integration in smart mobile devices, this technology has great potential in localization-based optical wireless communication

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