Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Faculty of Engineering | en_US |
| dc.creator | Hu, Jinzhen | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/5987 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Probability density of the magnitude of indoor fading | en_US |
| dcterms.abstract | A transmitted impulse δ(t), after propagating through a multipath-channel, would arrive at a receiver as r(t) = IΣi=1ciδ(t+τi), where τi denotes the i-th time-delayed multipath's propagation-delay, Ci denotes the i-th time-delayed multipath's complex-valued fading amplitude. Coherent summation of these multipaths would produce an overall fading factor of C = √IΣi=1|ci|2 . The value of this fading factor depends on the fading channel. For indoor wireless propagation, C would be affected by 1. The indoor floor plan, the position / materials / surface-roughness / size of walls / furniture / decor. 2. The transmitting / receiving antennas' polarizations, antenna-type, horizontal position in the floor plan, vertical positions from the ceiling and floor. 3. The presence / absence of humans and other animals. This C is affected by macroscopic fading, shadowing, and microscopic fading. The last could vary very significantly within fractions of a wavelength (approximately a foot at 1 GHz). This microscopic variation in C could be modeled as a random variable. This dissertation aims to characterize this random variable's probability density. The CINDOOR ray-tracing software will be used to simulate an indoor environment. To simulate microscopic fading, the faded signal is sampled over a 16 x 16 x 6 grid, spanning over a volume of a wavelength times a wavelength times a wavelength. Implicitly assumed here is that macroscopic fading and shadowing effects remain constant in this volume. The above 1536 spatial samples are then gathered into a histogram. Normalization of the area of this histogram to unity -that would give an estimate of the probability density of C, under that one particular propagation environment. This probability-density estimate is then least-squares fit to various probability densities, to identify the best-fitting density as a mathematical model of the density of C. This best-fitting density turns out to be Weibull. Then, one factor is changed in the propagation environment (e.g. the receive-antenna's polarization) to test how the best-fitting density's parameters may change as a consequence. | en_US |
| dcterms.extent | viii, 82 leaves : ill. (chiefly col.) ; 30 cm. | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2011 | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.LCSH | Radio -- Transmitters and transmission -- Fading | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b2415801x.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 3.56 MB | Adobe PDF | View/Open |
Copyright Undertaking
As a bona fide Library user, I declare that:
- I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
- I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
- I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.
Please use this identifier to cite or link to this item:
https://theses.lib.polyu.edu.hk/handle/200/5987