Optimization method of electronic control parameters of antenna array for null controlling in specific regions and sidelobe suppression

ABSTRACT

This paper presents a gradient-based optimisation method of antenna array for null controlling in specific regions and sidelobe suppression. The optimisation problem is formulated as optimising the electronic control parameters (excitation amplitude and phase) of the array to achieve that the maximum value of the peak sidelobe levels (PSLLs) is minimised and the depths of the nulls in specific regions are not greater than a threshold. The Kreisselmeier – Steinhauser (KS) function is used to describe the maximum value of the PSLLs, in this way, the optimisation problem becomes differentiable and can be solved efficiently by gradient-based algorithm. The sensitivities of the objective with respect to the design variables are analytically derived. Typical numerical examples and detailed evaluations are provided to validate the effectiveness of the proposed method. The results show that the null controlling in the predefined specific single, single-wide, dual, multiple, and annular regions is realised, and the PSLL suppression is performed comparing to the uniform planar arrays. In the 28 GHz base station transmitting antenna-array example, the proposed method effectively suppresses the PSLL and greatly saves the calculation time while maintaining the various specific null regions controlling.

KEYWORDS:

• Null controlling
• sidelobe suppression
• antenna arrays
• optimisation method
• electronic control parameters

Acknowledgements

This work was supported by the National Natural Science Foundation of China (12172076), and by the Shenzhen Science and Technology Research and Development Fund (JSGG20200102155001779). These financial supports are gratefully acknowledged.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Replication of results

The authors declare that they have no conflict of interest.

Additional information

Funding

The work was supported by the National Natural Science Foundation of China [12172076]; Shenzhen Science and Technology Research and Development Fund [JSGG20200102155001779].