The low sidelobe level high-gain adaptive beamforming method for uniform subarrays

Area of Science:

• Electrical Engineering
• Signal Processing
• Radar Systems

Background:

• Array radar technology faces challenges in complex electromagnetic environments, including weak signal enhancement, target detection, anti-jamming, and energy consumption.
• Existing adaptive beamforming methods may suffer from high computational complexity.

Purpose of the Study:

• To propose a low sidelobe level, high-gain adaptive beamforming method for uniform subarrays.
• To reduce computational dimensions while maintaining output performance for array radar systems.

Main Methods:

• A virtual interference signals iteration method is employed to reduce computational complexity.
• Element-level weighting is used for delay compensation within subarrays.
• Lagrange method is applied iteratively to solve for the weight vector.

Main Results:

• The proposed method effectively enhances weak signals and improves target detection.
• Demonstrated significant reduction in computational dimension.
• Simulation experiments validated the method's effectiveness and reliability in anti-jamming scenarios.

Conclusions:

• The developed adaptive beamforming method offers a robust solution for array radar in challenging electromagnetic environments.
• The technique successfully balances performance enhancement with computational efficiency.