Figure 30214min. / 7 = 0 6 5 m m . d / h = O 0 8 . c , = 9 3 9 , a n d c 2 = 9 5Charge distribution functions for u = 0517 mm. 5 = the present method are closer to the exact ones, and therefore have larger line capacitances, which then gives rise to smaller characteristic impedances
CONCLUSIONIn this work the variational method is adopted to analyze the coupled microstrips with a dielectric overlay. To get the maximum values, an optimization method is described. And it is found that the calculated results of the characteristic impedance agree quite well with those of Paolino. Hence the polynomial-fitting method is correct and useful in obtaining the closest charge density functions. As this method is independent of the specific microstrip structure, therefore it is of great use in the analysis of microstrip-like transmission lines. The details of application will be published in a future work.ABSTRACT W e desmhe u numericul upprouth to the problem of phusr recouey in coherent opticul communications systems corrupted by phuse noise. Two udiwttuges not present in preoiow treutments ure the fucts thot the effects of the nonlinearity ure treuted exuc.tlv und u probuhility drstrihutiori for the filtered output I S obtained wrthoui resorting to upper hound.s. The resulis ure upplied io u sensitwit@ c,ulculution for phuse-shift-kewi s )'stems.
A general method is proposed for analyzing the trans. mission line characteristics of strip lines with rectangukw outer conductor and mnltidlelectric layers within a TEM wave approximation, This method uses Green's function for formulating the problem and a variational principle for obtaining practical solutions. The case of the microstrip line is first discussed, aad numerical results are found to be consistent with other theories and experiments. The case of strip lines with a rectanguhw outer conductor and three dielectric layers is examined for various combinations of dielectric materials. Other applications of Green's function and the theoretical limitation of this method are also deaeribed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.