Correction of faulty sensors in phased array radars using symmetrical sensor failure technique and cultural algorithm...

Area of Science:

• Electrical Engineering
• Signal Processing
• Antenna Theory

Background:

• Sensor failures in antenna arrays lead to performance degradation.
• Key issues include elevated sidelobe levels, null position shifts, and reduced null depth.

Purpose of the Study:

• To address the challenges posed by sensor failures in antenna arrays.
• To propose a robust method for maintaining antenna array performance despite sensor malfunctions.

Main Methods:

• A hybrid memetic computing algorithm combining Cultural Algorithm with Differential Evolution (CADE) is introduced.
• Passive weighting of complementary sensors is employed to achieve required null depth.
• A fitness function minimizes beam pattern errors and enforces null constraints.

Main Results:

• The proposed CADE-based hybrid method effectively reduces sidelobe levels.
• Accurate placement of nulls in their original positions is achieved.
• Simulation results validate the algorithm's performance across various failure scenarios.

Conclusions:

• The developed hybrid memetic algorithm offers a viable solution for antenna arrays with sensor failures.
• The method successfully restores desired antenna performance by mitigating sidelobe and null issues.
• This approach demonstrates significant potential for enhancing the reliability of antenna systems.