**4.3 Cylindrical surface with radii of curvatures** *r* **= 30 cm**

In the limiting case, when the radius of curvature of conformal cylindrical array increases up to 30 cm and above (approaching flat array), the compensated gains

**99**

**5. Conclusion**

**Figure 6.**

*Broadside Pattern Correction Techniques for Conformal Antenna Arrays*

achieved from both projection and convex optimization methods nearly reaches the linear flat array gain, which is demonstrated in **Figure 8** and is shown in **Table 1**.

*(a) Analytical results for phase compensation of a conformal cylindrical antenna array with r = 12 cm. (b) CST simulation results for phase compensation of a conformal cylindrical antenna array with r = 12 cm.*

In this chapter, phase compensation techniques based on projection method and convex optimization (phase correction only) have been discussed for recovery

*DOI: http://dx.doi.org/10.5772/intechopen.90957*

*Broadside Pattern Correction Techniques for Conformal Antenna Arrays DOI: http://dx.doi.org/10.5772/intechopen.90957*

**Figure 6.**

*Advances in Array Optimization*

**98**

**Figure 5.**

compensated gain is less than the ideal gain (linear array) for both projection and convex optimization methods. This is an important finding and must be kept in

*(a) Analytical results for phase compensation of a conformal cylindrical antenna array with r = 10 cm. (b) CST simulation results for phase compensation of a conformal cylindrical antenna array with r = 10 cm.*

In the limiting case, when the radius of curvature of conformal cylindrical array increases up to 30 cm and above (approaching flat array), the compensated gains

design stages of conformal antenna arrays.

**4.3 Cylindrical surface with radii of curvatures** *r* **= 30 cm**

*(a) Analytical results for phase compensation of a conformal cylindrical antenna array with r = 12 cm. (b) CST simulation results for phase compensation of a conformal cylindrical antenna array with r = 12 cm.*

achieved from both projection and convex optimization methods nearly reaches the linear flat array gain, which is demonstrated in **Figure 8** and is shown in **Table 1**.
