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was applied with respect to x The symmetry property of ZF x y was exploited to reduce the computation time About 200 200 grid points in the x y -plane was used Also plotted is the contribution of the surface wave deduced in (839) Expectedly, the mutual admittance between two far-off elements is dominated by the surface wave coupling 842 Leaky Wave We have seen that if the Floquet impedance has zeros in the kx ky -plane, then the array structure is capable of supporting surface wave modes A surface wave propagates only when a finite number of elements are excited while the remaining elements are short circuited at the input ends Now consider a different scenario Suppose the imaginary part of the Floquet impedance is zero while the real part has a small positive value, making the return loss near 0 dB.

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This happens when a grazing lobe occurs in an array of electrically small aperture dimensions, as shown in Section 833 In such a case the Floquet impedance can be considered to have a complex zero with a small imaginary part The complex zero of the Floquet impedance is associated with a leaky wave Unlike a surface wave, a leaky wave radiates as it propagates The leaky wave radiation helps in explaining the dips and nulls in the element pattern [6] The leaky wave propagation can be well understood from its contribution to the mutual admittance In order to estimate the mutual admittance contributed by the leaky wave, we follow the same procedure as used in the case of surface wave admittance The most crucial part of computing leaky wave coupling is determination of the complex leaky wave pole (a complex zero of ZF ).

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To search for a complex zero one needs computations of ZF with respect to complex values of k Furthermore, one requires a two-dimensional search, which is computationally extensive To circumvent this, we utilize the principle of analytic continuation of a complex function We fit a polynomial function for ZF utilizing a set of data points on the real axis of k and then determine the complex zeros of the polynomial The polynomial should be constructed utilizing the data points that are in the close vicinity to the leaky wave pole A leaky wave pole generally exists at a nearby point of the real axis of k where the real part of ZF has a small value while the imaginary part passes though a zero For fitting a second-degree polynomial the Floquet impedance in that neighborhood can be expressed as ZF k A + Bk + Ck2 (840).

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of information obtained from the black network for monitoring purposes. A QoS problem is detected by the performance management systems on Source 1 and Source 2, and both of these nodes (Source 1 and Source 2) send QoS failure noti cations to the NMS in Node 3. Based on the recent history of physical connectivity and the timing of congestion on Node 2, the fault management component determines that the congestion is probably caused by the loss of physical connectivity. This conclusion is arrived at by performing graph analysis to determine whether any of the probable paths between the troubled node pairs go through Node 2, which is known to be congested. As before, the inferences obtained via this analysis are probabilistic in nature, due to the stochastic nature of the input (dependency) models. Once again, due to the small size of the network, the root cause analysis narrows down the root cause of the problem, and the NMS determines that the soft failures are most probably caused by the congestion on Node 2.

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