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where L is the number of elements in the antenna array. The expectationof the normalised SNR in Equation 3.69 employing the antenna weights calculated on the basis of the noise- or interference-only related co-variance matrix, is plotted in Figure 3.19for two, four and eight element antenna arrays. Explicitly, Figure 3.19 suggests that as long as, N , the number of samples used to estimate the noise- or interference-related correlation matrix, R,,, is greater than twice the number of antenna elements, the loss in E [ p 2 ] due to non-optimal weights is less than 3 dB. The expectedvalues of E [ p z ] evaluated from Equation 3.69 are compared to values determined using simulations. The simulation based and theoretical SNRs were in good agreement. It is interesting to note that although both the normalised simulated and theoretical SNRs approach unity, implying approaching the optimum SNR in Equation 3.67, however the rate of convergence for both the theoretical and simulated values slows down, the number of antenna elements as used toform the antenna
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Uniqueness of the fixed point can be proved under the following assumptions. ASSUMPTIONS
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Part III: Working with Assemblies
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Part II
relative values of a2 and when t = T , we nd orders of magnitude of degradation in BER performance. These results give a general indication of how multipath affects performance as a function of data rate. For very low data rates the multipath has very little effect, but as the data rate increases, the performance can degrade markedly. In communications environments where the received BER can vary widely with time or with location of the transmitter or receiver, the overall average received BER is not necessarily a useful measure of system performance. A performance measure which is often more useful is the outage probability, which is de ned as the probability that the received BER lies above some preselected threshold of acceptable performance. In Table 9.1 we show outage probabilities that have been computed from signal measurements made in ve factory locations (results presented in 5). The third, fourth, and fth columns in the table give outage probabilities computed for BER thresholds of 10 2 , 10 4 , and 10 8 , respectively. These BER values represent performance thresholds that might be deemed acceptable for different data applications. The outage probabilities are calculated for BPSK modulation and are given for various data rates in the ve manufacturing areas. The BER for each individual location
5. Open the Front Wheel Assembly in its own window and switch to the ConfigurationManager. Add a configuration called Small Tires, and change the tire to the configuration called Small Tire, which has already been created. 6. Switch back to the main assembly window (using Ctrl+Tab), RMB click the Front Wheel Assembly in the FeatureManager, and select Component Properties. Select the Default configuration for the Front Wheel assembly, as shown in Figure 14.23.
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