1 Introduction
2 Methods
2.1 The model of LWA with non-identical irregularities
2.2 The contributing advantages of the proposed work are as follows:
3 LWA synthesis
\({I_{n}}\) | Value | \({I_{n}}\) | Value | \({I_{n}}\) | Value |
---|---|---|---|---|---|
\({I_{1}}\) | 0.085 | \({I_{8}}\) | 0.205 | \({I_{15}}\) | 0.195 |
\({I_{2}}\) | 0.1125 | \({I_{9}}\) | 0.2125 | \({I_{16}}\) | 0.1835 |
\({I_{3}}\) | 0.135 | \({I_{10}}\) | 0.2175 | \({I_{17}}\) | 0.17 |
\({I_{4}}\) | 0.154 | \({I_{11}}\) | 0.22 | \({I_{18}}\) | 0.154 |
\({I_{5}}\) | 0.17 | \({I_{12}}\) | 0.2175 | \({I_{19}}\) | 0.135 |
\({I_{6}}\) | 0.1835 | \({I_{13}}\) | 0.2125 | \({I_{20}}\) | 0.1125 |
\({I_{7}}\) | 0.195 | \({I_{14}}\) | 0.205 | \({I_{21}}\) | 0.085 |
\({d_{n}}\) | Value | \({d_{n}}\) | Value | \({s_{n}}\) | Value | \({s_{n}}\) | Value |
---|---|---|---|---|---|---|---|
\({d_{1}}\) | 6.8 | \({d_{12}}\) | 83.3065 | \({s_{1}}\) | 0.00723 | \({s_{12}}\) | 0.07226 |
\({d_{2}}\) | 13.609 | \({d_{13}}\) | 90.3365 | \({s_{2}}\) | 0.01275 | \({s_{13}}\) | 0.07435 |
\({d_{3}}\) | 20.391 | \({d_{14}}\) | 97.3665 | \({s_{3}}\) | 0.01859 | \({s_{14}}\) | 0.07475 |
\({d_{4}}\) | 27.1975 | \({d_{15}}\) | 104.3965 | \({s_{4}}\) | 0.02466 | \({s_{15}}\) | 0.0731 |
\({d_{5}}\) | 34.0975 | \({d_{16}}\) | 111.4235 | \({s_{5}}\) | 0.0308 | \({s_{16}}\) | 0.06983 |
\({d_{6}}\) | 41.0565 | \({d_{17}}\) | 118.4635 | \({s_{6}}\) | 0.03703 | \({s_{17}}\) | 0.06444 |
\({d_{7}}\) | 48.0565 | \({d_{18}}\) | 125.4635 | \({s_{7}}\) | 0.04343 | \({s_{18}}\) | 0.05652 |
\({d_{8}}\) | 55.0565 | \({d_{19}}\) | 132.4693 | \({s_{8}}\) | 0.05017 | \({s_{19}}\) | 0.04604 |
\({d_{9}}\) | 62.0565 | \({d_{20}}\) | 139.4193 | \({s_{9}}\) | 0.05676 | \({s_{20}}\) | 0.03351 |
\({d_{10}}\) | 69.1065 | \({d_{21}}\) | 146.1793 | \({s_{10}}\) | 0.06304 | \({s_{21}}\) | 0.01979 |
\({d_{11}}\) | 76.2065 | \({s_{11}}\) | 0.06884 |
\({w_{n}}\) | Value | \({h_{n}}\) | Value | \({\lambda _\mathrm{waveguide}}\) | Value |
---|---|---|---|---|---|
\({w_{1}}\) | 1.1 | \({h_{1}}\) | 1.0853 | \({\lambda _{1}}\) | 6.8 |
\({w_{2}}\) | 1.259 | \({h_{2}}\) | 0.8946 | \({\lambda _{2}}\) | 6.809 |
\({w_{3}}\) | 1.402 | \({h_{3}}\) | 1.0285 | \({\lambda _{3}}\) | 6.782 |
\({w_{4}}\) | 1.831 | \({h_{4}}\) | 0.965 | \({\lambda _{4}}\) | 6.8065 |
\({w_{5}}\) | 2 | \({h_{5}}\) | 0.9135 | \({\lambda _{5}}\) | 6.9 |
\({w_{6}}\) | 2.26 | \({h_{6}}\) | 1.0396 | \({\lambda _{6}}\) | 6.959 |
\({w_{7}}\) | 2.4 | \({h_{7}}\) | 1.0044 | \({\lambda _{7}}\) | 7 |
\({w_{8}}\) | 2.75 | \({h_{8}}\) | 1.0747 | \({\lambda _{8}}\) | 7 |
\({w_{9}}\) | 2.9 | \({h_{9}}\) | 1.01 | \({\lambda _{9}}\) | 7 |
\({w_{10}}\) | 3.05 | \({h_{10}}\) | 1.0035 | \({\lambda _{10}}\) | 7.05 |
\({w_{11}}\) | 3.1 | \({h_{11}}\) | 1.0507 | \({\lambda _{11}}\) | 7.1 |
\({w_{12}}\) | 3.1 | \({h_{12}}\) | 1.0573 | \({\lambda _{12}}\) | 7.1 |
\({w_{13}}\) | 3.1 | \({h_{13}}\) | 0.9962 | \({\lambda _{13}}\) | 7.03 |
\({w_{14}}\) | 3.1 | \({h_{14}}\) | 0.9976 | \({\lambda _{14}}\) | 7.03 |
\({w_{15}}\) | 3.1 | \({h_{15}}\) | 0.9937 | \({\lambda _{15}}\) | 7.03 |
\({w_{16}}\) | 3 | \({h_{16}}\) | 1.0203 | \({\lambda _{16}}\) | 7.027 |
\({w_{17}}\) | 3 | \({h_{17}}\) | 1.0186 | \({\lambda _{17}}\) | 7.04 |
\({w_{18}}\) | 2.9 | \({h_{18}}\) | 1.009 | \({\lambda _{18}}\) | 7 |
\({w_{19}}\) | 2.402 | \({h_{19}}\) | 1.0171 | \({\lambda _{19}}\) | 7.0058 |
\({w_{20}}\) | 2.25 | \({h_{20}}\) | 1.026 | \({\lambda _{20}}\) | 6.95 |
\({w_{21}}\) | 1.4 | \({h_{21}}\) | 0.9928 | \({\lambda _{21}}\) | 6.76 |