Sum and difference pattern synthesis for conformal arrays

To synthesize low sidelobe sum and difference pattern for conformal arrays, an improved pattern synthesis algorithm is presented based on adaptive array theory. In the algorithm, the sidelobe level deviation of the computed pattern and the desired pattern is normalized by the desired sidelobe level. Then the product of normalized deviation and the current interference power is made as the variable in the iteration. Compared with the similar algorithms, its iteration coefficient is robust to synthesis conditions, and its convergence is steady and effective. Then the technique is developed to search the lowest uniform sidelobe given the width of mainlobe region, and synthesize difference pattern with shaped sidelobe. The synthesized pattern that is nearly the same as the desired pattern can be obtained. Simulation results are provided to demonstrate the effectiveness and behavior of the proposed algorithm.