Now showing 1 - 6 of 6
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    Item type:Publication,
    Measurement and evaluation of radar cross section for furniture in an indoor propagation channel
    (2014-11-11)
    Maw, M. M.
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    Takada, J.
    This paper has attempted to evaluate the radar cross section (RCS) of two furniture items in an indoor environment in a frequency range of 3-7 GHz of the ultra-wideband (UWB) range. The RCS evaluation is achieved through an extended version of the radar equation that incorporates the channel transfer function of scattering. The time-gating method was applied to remove the multipath effect, a phenomenon which typically occurs in the indoor environment. Two double-ridged waveguide horn antennas for both vertical and horizontal polarizations were used to obtain the transfer function of scattering of the furniture prior to analysis in order to derive their bistatic RCS. The RCS results validate the applicability of the proposed extended radar equation to the indoor propagation prediction.
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    Item type:Publication,
    Quantitative Measurement of Path Loss Model Adaptation Using the Least Squares Method in an Urban DVB-T2 System
    (2018-01-01)
    Keawbunsong, Pitak
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    The aim of this paper was to propose quantitative measurement of path loss model adaptation in urban radio propagation for a second-generation, terrestrial digital video broadcasting standard (DVB-T2) system. The measurement data was analyzed using data processing based on the least squares (LS) method to verify the probabilistic quantitation of realistic data measurement such as mean error (ME), root mean square error (RMSE), and standard deviation of error (SD), as well as relative error (RE). To distinguish the experimental evaluation, the researchers compared between the conventional Hata path loss model and the proposed model. The result showed that path loss based on the proposed model was more accurate in predicting the quantitative measurement of propagation data properly.
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    Item type:Publication,
    Optimum Weight Parameter of Weight Centroid Method for Indoor Positioning in Environment with Different Path Loss Exponent and Multipath Fading Effect
    This paper proposes optimum weight parameter of weight centroid method for indoor positioning in environment with different path loss exponent and multipath fading effect. The indoor environment is defined as square with each side 10 m long. There is a transmitter installed in the center of each side. The distance error model is applied to calculate the distances between the location coordinates of user and the location coordinates of transmitters in environment with different path loss exponent and multipath fading. The total 100 location coordinates of user are estimated by using weight centroid method, varying weight parameter in the range of 1 to 10. The optimum weight parameter is defined as the case where mean of distance error of all positions is the least. The optimum weight parameter for environment with different path loss exponent and multipath fading effect is illustrated. The results show that the optimum weight parameter changes slightly with the path loss exponent and tends to change with the standard deviation of the multipath fading effect divided into 3 periods. The first period tends to increase slowly, the second period tends to increase rapidly, and the third period tends to fluctuate up and down. Moreover, the size of the indoor environment has very little impact on the optimum weight parameter. These results make it possible to select optimum weight parameter for case with path loss exponent and standard deviation of multipath fading effect that match or are close to the channel of indoor environment.
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    Item type:Publication,
    Localization of index finger using radar cross section measurements for touchless keypad model
    (2015-10-01)
    Vinicchayakul, Wipassorn
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    This research paper has proposed the use of radar cross section (RCS) measurements as input parameters with a minimum root mean square (RMS) error matching algorithm on a touchless keypad model for localization of human’s index finger. To compare the localization performances, path loss input parameters are also used in the experiments. The touchless keypad model is tested in two different distances between the finger and the keypad under varying conditions. The experiments on the touchless keypad model are carried out in accordance with the IEEE802.15.3a (full band) and IEEE802.15.4a (high and low bands) ultra wideband (UWB) standards and in the horizontal polarizations. This research also examines the effects of Rx angles relative to the finger and of human factor on the RCS parameters by experimenting with seven volunteers.
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    Item type:Publication,
    Indoor radar cross section measurements of aluminum hollow rod for ultra wideband applications
    (2015-10-01)
    Vinicchayakul, Wipassorn
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    Scattering signals, which scatter from furniture items, walls or objects in an indoor environment, affect on the received signals. Furthermore, the scatters have an effect on the radio wave propagation. Therefore, the effects of the scattering signals from the items on the radio wave propagation are investigation and analysis. For this reason, this paper presents an effect between the scattering signals and an aluminum hollow rod in a frequency range of 3.0–11.0 GHz of ultra wideband (UWB) and each angel. Then, the aluminum hollow rod was moved to follow each location in order to test for the UWB applications. An experimental set-up was set by using a vector network analyzer (VNA) for bistatic radar cross section (RCS) measurements in an indoor environment. Then, the scattering signals from the aluminum hollow rod were analyzed in term of the RCS. After that, the RCS was applied to the UWB applications.
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    Item type:Publication,
    Evaluation of distance error with bluetooth low energy transmission model for indoor positioning
    Currently, an indoor positioning is a challenge application for location-based services (LBS) and proximity-based services (PBS). However, the indoor channel has dense multipath fading, causing more distance error than outdoor positioning. In this paper, the distance error analysis model is proposed for indoor positioning. The indoor channel is modeled as the sum of path loss model and multipath fading model. The path loss model is a linear regression model (LRM) based on Friis' transmission formula, used for estimating the distance from received signal strength (RSS). The multipath fading is a Gaussian statistical model with zero mean, used for characterizing the multipath fading effect. The normalized distance error is evaluated and defined. The indoor channel with Bluetooth low energy (BLE) beacons is measured and compared with the proposed model. From the results, the normalized distance error obtained from the proposed model corresponds very well to measurement. This proposed model can be used as a tool for designing an indoor positioning system to obtain the specific distance error.