Authors - N Praveena, N Gunavathi Abstract - This article presents a dual-mode Substrate Integrated Waveguide (SIW) filter by perturbing the square cavity for C band applications. The TE110 and TE120 perturbed modes are formed by introducing the centre metallic via in the SIW square cavity, which has distinct field distributions. The proposed filter is designed by combining the solution of CST supported by Machine learning algorithms. The four regression algorithms (XGboost, random forest, decision tree and K Nearest Neighbour (KNN) are compared and evaluated based on the accuracy score. Here KNN algorithm provides better accurate results of 89% for S11 and 99.96% for S21. The RTduroid 5880 substrate is used for fabricated filter of size 28.4 x 28.4 x 0.51mm3. The fabricated and simulated SIW filter results are validated with slight discrepancies.
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