Distribution fitting for real-time off-body channel measurements

Author

Masood, Rizwan ; Person, Christian ; Sauleau, Ronan

Author_Institution

Lab.-STICC, Brest, France

fYear

2014

fDate

8-10 Dec. 2014

Firstpage

1

Lastpage

3

Abstract

Distribution fitting for real-time off-body channel measurements is presented for narrowband ISM 2.45 GHz applications. The measured data statistics are compared with standard distribution functions such as normal, lognormal, etc. However, for real-time multipath channel measurements, the diversity of empirical data depending on the studied configuration makes difficult the selection of one specific distribution function as the best distribution. Therefore, we propose an innovative and robust algorithm to choose the best distribution function using goodness of fit test (Kolmogorov-Smirnov). The statistics proposed here are based on 12000 real-time off-body channel measurements. Based on this study, multipath off-body channel can be modeled by a Gaussian/Normal distribution for scenarios involving a direct or line-of-sight path.

Keywords

Gaussian distribution; biomedical telemetry; body sensor networks; curve fitting; data analysis; feature extraction; feature selection; log normal distribution; medical signal processing; normal distribution; Gaussian distribution; Kolmogorov-Smirnov test; configuration dependence; direct path; distribution fitting; empirical data diversity; frequency 2.45 GHz; goodness of fit test; innovative best distribution function selection algorithm; line-of-sight path; lognormal distribution function; measured data statistics; multipath off-body channel modeling; narrowband ISM application; real-time multipath channel measurement; real-time off-body channel measurement; robust best distribution function selection algorithm; standard distribution function; Antenna measurements; Antennas; Distribution functions; Frequency measurement; MATLAB; Maximum likelihood estimation; Semiconductor device measurement; Body Area Network; Kolmogorov-Smirnov test; Maximum Likelihood Estimation; distribution fitting; probability density function; probability distribution function;

fLanguage

English

Publisher

ieee

Conference_Titel

RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-Bio), 2014 IEEE MTT-S International Microwave Workshop Series on

Conference_Location

London

Print_ISBN

978-1-4799-5445-2

Type

conf

DOI

10.1109/IMWS-BIO.2014.7032389

Filename

7032389