Joint Transmit-Receive Weight Optimization for FDA Radar to Balance Active Detection and RF Stealth.

Area of Science:

• Radar Systems Engineering
• Electromagnetic Wave Theory
• Signal Processing

Background:

• Existing Frequency Diverse Array (FDA) radar research prioritizes radio-frequency (RF) stealth over active detection performance.
• A critical gap exists in balancing RF stealth and active detection capabilities in FDA radar systems.

Purpose of the Study:

• To propose a joint transmit-receive weight optimization scheme for FDA radar systems.
• To achieve an effective balance between active detection and RF stealth performance.

Main Methods:

• Developed a non-convex optimization problem for joint transmit-receive weight optimization.
• Implemented a block coordinate descent (BCD)-based alternating optimization method with a specialized initialization strategy.
• Conducted simulations to evaluate the proposed method against conventional FDA radar and benchmark methods.

Main Results:

• The proposed method significantly improves RF stealth performance.
• Comparable active detection capability is maintained.
• Outperforms conventional FDA radar and existing optimization-based benchmark methods in balancing stealth and detection.

Conclusions:

• The developed joint optimization scheme effectively balances active detection and RF stealth in FDA radar systems.
• The BCD-based method provides an efficient solution for the non-convex optimization problem.
• Demonstrates a practical approach for enhancing FDA radar system performance in diverse applications.