With the rapid progress of electronic and information technology, an expectation for the realization of body area network (BAN) by means of ultra wide band (UWB) techniques has risen. The objective of this study is to analyze the transmission characteristics by using a high-precision human body model in order to eliminate the influence of antenna structures on channel modeling. A frequency-dependent finite difference time domain ((FD) 2 TD) method and a Matlab-based curve-fitting tool are employed for the modeling of channel characteristics. Based on the numerical results, the path loss and power delay profile are derived statistically. Keywords-Ultra wide band (UWB), transmission channel, frequency-dependent finite difference time domain ((FD) 2 TD) method, path loss, power delay profile
In compliance assessments of radio-frequency exposure from cellular-phone-base station antennas, the root of 6-min time average of the squared electric fields is commonly required. Under the assumption that the time-varying electric fields belong to an ergodic process, a new approach has been proposed to estimate the 6-min time average from the ensemble average of the squared electric fields based on amplitude probability distribution (APD) measurements for a shorter time, much less than 6 min. The usefulness of the approach has been demonstrated at the 800-MHz band and the 1.5-GHz band, and the results have shown that by using a fast sampling rate, 1-min APD measurements could give a good estimate of the 6-min time average with an accuracy of within ±10%.Index Terms-Amplitude probability distribution (APD), base station antenna, cellular phone, electric field intensity assessment.
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