Complex weight control of array pattern nulling

Abstract

An efficient method based on the sequential quadratic programming (SQP) algorithm for the linear antenna arrays pattern synthesis with prescribed nulls in the interference direction and minimum side lobe levels by the complex weights of each array element is presented. In general, the pattern synthesis technique that generates a desired pattern is a greatly nonlinear optimization problem. SQP method is a versatile method to solve the general nonlinear constrained optimization problems and is much simpler to implement. It transforms the nonlinear minimization problem to a sequence of quadratic subproblem that is easier to solve, based on a quadratic approximation of the Lagrangian function. Several numerical results of Chebyshev pattern with the imposed single, multiple, and broad nulls sectors are provided and compared with published results to illustrate the performance of the proposed method.

Null steering in irregularly spaced sparse antenna arrays using aperture distributed subarrays and hybrid optimiser

“…A major limitation of the PSO and other similar techniques is that they are computationally very expensive and face difficulty in converging when large number of variables is involved. SQP has shown to be a powerful technique to solve constraint non‐linear problems efficiently [38–40]. SQP algorithms divide non‐linear problems into quadratic subproblems and each is optimised subject to the constraints.…”