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The SMFSIA/CAG represents an improvement over the SMFSIA in terms of the matrix solving time. In Table 6.1.3, the matrix solving time is given for the case of 32768 surface unknowns for a single surface realization. The run times are for a SUN SPARC10 workstation. Surface lengths are Lx = L y = 16>" with an area of L 2 = 256>..2. This represents 64 sample points per >..2. The rms height is h = 0.2>", with correlation lengths of lx = ly = 0.6>". For these surface parameters, rd is 1.0>". From Table 6.1.3, it is observed that SMFSIA/CAG is 5 times faster than the SMFSIA. The results of Figs. 6.1.5a show that both methods give the same bistatic scattering coefficient. It should be noted that when compared to the SMFSIA, the efficiency of the SMFSIA/CAG will be improved even more for those cases involving larger surface areas than the 256>..2 given in this example. This is because for given rough surface statistics, as the surface area increases CPU for the weak matrix multiplication step becomes more dominant. SMFSIA/CAG speeds up the computation of the product of the weak matrix and the column vector. In Fig. 6.1.5b, a Monte Carlo simulation result of Fig. 6.1.5a is presented for an ensemble average of 280 realizations. We will show convergence of bistatic scattering with respect to the number of surface realizations, surface size, surface sampling rate and tapering parameter. In Table 6.1.4, all the numerical parameters used for the results illustrated in various figures are tabulated.

5

0.9 0.8 0.7 0.6

-----

hh-(MI) vh-(MI) hh-(SMFSIA/CAG) vh-(SMFSIA/CAG)

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For the Purchase Tracker sample application: Open the Product class in the Code Editor Add the ProductName property, as defined in this section Open the ProductWin form in the Code Editor In the Load event for the ProductWin form, add code to set and then display the ProductName property:

0.6 0.5 D. 0.3 0.2 0.1 0.0

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0 (f) 0

-- -------..- -----40 -20 0 20 40 60 80

Scattering Angle (Degrees)

Figure 6.1.5 (a) Comparison between the original SMFSIA and SMFSIA/CAG for 1 realization. Rough surface parameters Lx = L y = 16>", h = 0.2>", Ix = ly = 0.6>" and incident angle (Ji = 10 and i = 0 . (b) A Monte Carlo simulation result with SMFSIA/CAG and 280 realizations.

Dim prod as Product prod = New Product prodProductName = "shoes" DebugWriteLine(prodProductName) ' Displays shoes

The convergence of the solution of the matrix equation is defined with respect to the error norm of the matrix equation (6155) The error norm criteria of < 1% is satisfied for each surface realization In Fig 616, the averaged normalized bistatic scattering coefficients are plotted for various numbers of realizations (272, 432, and 1000) Surface lengths in the x and y directions are Lx = L y = 32,\ (Lx x L y = 1024,\2) with a surface rms height h x = h y = 05'\ and correlation lengths of lx = ly = 10'\ The surface is sampled at 16 points per ,\2 to give 32768 surface unknowns The neighborhood distance rd is 26'\ The incident angle is Bi = 10 and i = 0 The tapering parameter 9 is equal to L x /2.

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