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indoors. This section intends to show, using the results of a limited-scale simulation, the real effect of a multipath on the correlation function, and hence on the pseudo range measurement. The graph in Fig. 8.6 shows a typical correlation curve obtained for a GPS C/A code shift equal to 400 chips (corresponding to 0.391 ms). Note that this curve is obtained on a simulation basis without any noise being considered (thus a very simpli ed case indeed, but enough for the present purpose). The correlation peak is clearly visible for a time shift equal to 400 chips, as expected. This has been obtained with a single prompt correlator. As described in 7, the real correlation function used (the early-late architecture) is indeed slightly modi ed and involves three correlations. Such a technique allows one to determine the moment the zero line is crossed instead of the peak (which is more dif cult to nd and not really useful for feedback purposes). Thus, the earlylate correlation is based on two local replicas in addition to the prompt:

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datagrams from the backbone and any multicast forwarder to be included in any multicast tree built in their area When a multicast datagram is to be forwarded, it is received by the ABR (multicast forwarder) for forwarding to the backbone The backbone routers know which groups are active in which areas, and since the ABR is part of the backbone they can receive the information from the backbone to be forwarded to their area The backbone routers do not implement the wildcard function, for these routers inherently know about all multicast groups through the multicast ABRs flowing summary information into the backbone, which is received by the backbone routers How is the forwarding cache built based on these assumptions It depends on whether the source and a router building the tree are in the same area or not.

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The forwarding of multicast information is still accomplished using the forwarding cache, but an accurate picture cannot be drawn If the source and the router performing the calculation are in the same area, the wildcard feature of the ABR comes into play This forces the router to be included in all multicast computations, which allows for the branches of the ABR to be included in the shortest-path tree The ABR will not be pruned If the source and the router performing the calculation are in different areas, then the summary link advertisements are used This forces the inter-area multicast forwarders of the ABR to be included in the calculated tree A final note: Area Border Routers have separate link-state databases for each area they attach to this is a normal OSPF process.

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a multiple regression model presented in diagram form in Figure 24.1. All four of the measured variables appear in boxes connected by lines with arrows indicating that gender, academic achievement, and weak institutional bonds (the IVs) predict acceptance of risky behaviors (the DV). Lines with arrows at each end indicate a covariance among the IVs. The presence of a residual indicates imperfect prediction. A more complicated model of acceptance of risky behavior appears in Figure 24.2. In this model, Acceptance of Risky Behavior is a latent variable (a factor) that is not directly measured but rather assessed indirectly, using two measured variables: degree of endorsement with It is OK to drink and It is OK to smoke. Acceptance of Risky Behavior is, in turn, predicted by gender and by Weak Institutional Bonds, a second factor that is assessed through two measured variables: bonds to family and bonds to teachers. For clarity in the text, initial capitals are used for names of factors and lowercase letters for names of measured variables. Figures 24.1 and 24.2 are examples of path diagrams. These diagrams are fundamental to SEM because they allow the researcher to diagram the hypothesized set of relationships the model. The diagrams are helpful in clarifying a researcher s

For multicast, however, this means that each multicast forwarder must build a separate forwarding tree for each area they attach to But all of the area s forwarding information is contained in one forwarding.

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= H (X1 ) + H (X2 |X1 ) + H (X3 |X2 , X1 ), . . .