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Thus, the measured output samples for the rst group were differentiating as satisfying Rayleigh statistics, (about 800 from 1200 measured points) The measured.

FIGURE 11.23(a). Distribution of signal strength amplitude r t versus the normalized parameter x r t =rms; the histogram corresponds to experiments and the curve describes the Rayleigh distribution.

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output points for the second and the third groups were combined together, approximately 1000 points from 1200 samples for the second group, and 800 900 from 1300 samples points for the third group. The reason for not using all the samples will be explained below. Statistical analysis of the rst group of outputs, which is approximately 1200 magnitudes of signal strength, is presented as a histogram in Figure 11.23(a), versus the normalized parameter x r t =rms. Where r t is the local magnitude of signal envelope, the parameter rms was de ned in 1.

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FIGURE 11.23(b). Distribution of signal strength amplitude r t versus the normalized parameter x r t =rms; the histogram corresponds to the experiments and the curve describes the Rician distribution.

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This histogram was constructed using approximately 800 points along the radio path at ranges from 200 m to 15 km between the terminal antennas The corresponding continuous curve presented in Figure 1123(a) was derived from the Rayleigh distribution (see 1) with all parameters obtained from resulting statistical analysis of measured points This shows agreement between the experimentally obtained distribution of signal strength presented and the theoretical prediction presented by Rayleigh s law described the worst (NLOS) situation occurs in wireless communication link The measured output points for the second and the third groups were combined together (approximately 1300 points for the second group and 700 800 points for the third group) Their statistical analysis is presented in the histogram in Figure 1123 as a function of the normalized signal strength x r t =rms.

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The continuous curve in the gure describes calculations of the Rician distribution (see 1) of fast signal variations obtained by using the information about rms and K from statistical analysis of experimental data As it is seen, a good explanation of experimental data was obtained by using the Rician s law Results of the statistical analysis of numerous experiments and theoretical prediction, both presented in Figure 1123, allow us to conclude that the Rayleigh statistics can be used during analysis of closed urban communication links for low elevated mobile terminal antennas That is, for a case of NLOS conditions in mobile communication At the same time, the Rician law strictly describes fast fading effects for combined NLOS (close areas) and LOS (open areas) conditions where one of the antenna is higher than the rooftops Description of Multipath Effects by Use of Stochastic Approach.

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Now, we will explain why all the experimental samples obtained in the statistics were not used As was mentioned above, about 30 35% of more than 3800 measurement points cannot be described by the Rayleigh Rician statistics Thus, in the rst group only about 800 from the 1200 measured points could be analyzed by using the Rayleigh statistics description The same situation occurred with the second group where only about 1000 points of the 1200 satisfy the Rayleigh law Finally, from the third group only about 800 900 of the 1300 points could be analyzed by using Rician statistics In all the points, which are not described by the well-known Rayleigh Rician statistics, we observe deeper signal strength fast variations.

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