Optimizing Planar Antenna Arrays for Enhanced Radar Performance in Direction of Arrival Estimation
A new report on research in engineering and sustainable development proposes a methodology for optimizing planar antenna arrays using genetic algorithms to enhance radar performance in direction of arrival estimation. The study, led by researchers from Mustansiriyah University's College of Engineering, aims to balance accuracy and computational efficiency in radar systems. The proposed approach achieves a significant reduction in computational complexity while maintaining high accuracy, making it suitable for low-power and low-resource embedded radar processors.
Key Takeaways:
- The researchers proposed a new methodology using genetic algorithms to optimize planar antenna arrays for direction of arrival estimation enhancement in radar systems.
- The approach achieves an RMSE of 0.2 degrees under an SNR of 20 dB and reduces computational cost by 35% compared to conventional methods.
- The study used the ESPRIT algorithm for azimuth and elevation angle estimation and achieved an optimal tradeoff with a configuration of M = 8, N = 3 and 85 snapshots.
- The proposed methodology is suitable for low-power and low-resource embedded radar processors and can be further enhanced by real-time capability using FPGAs and GPUs for hardware acceleration.
- The researchers used genetic algorithms to obtain an optimal configuration of antenna elements, allowing a considerable reduction in computational complexity.
- The study concluded that the proposed approach achieves a high level of accuracy while reducing computational cost.
Statistics:
- The proposed approach achieves an RMSE of 0.2 degrees under an SNR of 20 dB.
- The computational cost reduction is 35% compared to conventional methods.
- The optimal configuration of M = 8, N = 3 with 85 snapshots achieves an optimal tradeoff.
- The study used 85 snapshots for the proposed approach.
- The ESPRIT algorithm is used for azimuth and elevation angle estimation.
Sources:
- NewsRx. College of Engineering Researchers Report Research in Engineering and Sustainable Development (Optimizing Planar Antenna Arrays Using Genetic Algorithms for Enhanced Radar Performance in Direction of Arrival Estimation). Life Science Weekly. July 15, 2025; p 516.
- Optimizing Planar Antenna Arrays Using Genetic Algorithms for Enhanced Radar Performance in Direction of Arrival Estimation. Journal of Engineering and Sustainable Development, 2025,29(4).