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Optimizing Planar Antenna Arrays Using Genetic Algorithms for Enhanced Radar Performance in Direction of Arrival Estimation.

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Titel: Optimizing Planar Antenna Arrays Using Genetic Algorithms for Enhanced Radar Performance in Direction of Arrival Estimation.
Autoren: Farhan, Malik Jasim, Kadhum, Methaq, Rawashdeh, Enas
Quelle: Journal of Engineering & Sustainable Development; Jul2025, Vol. 29 Issue 4, p464-472, 9p
Schlagwörter: PLANAR antenna arrays, DIRECTION of arrival estimation, ANTENNAS (Electronics), COMPUTATIONAL complexity, RADAR
Abstract (English): This paper proposes the optimization of planar antenna arrays for DOA estimation enhancement in radar systems, where accuracy and computational efficiency need to be well balanced. This work describes a new methodology using GAs to obtain an optimal configuration of the antenna elements, allowing a considerable reduction in computational complexity. Using the ESPRIT algorithm for azimuth and elevation angle estimation, the proposed approach achieves an RMSE as low as 0.2 degrees under an SNR of 20dB. For practical setups, an antenna size configuration of M = 8, N = 3 with 85 snapshots can achieve an optimal tradeoff, reducing the computational cost by 35% compared to conventional methods while maintaining high accuracy. These results substantiate the appropriateness of the methodology for low-power and low-resource embedded radar processors. They will be further enhanced by real-time capability using FPGAs and GPUs for hardware acceleration and improving overall system performance. [ABSTRACT FROM AUTHOR]
Abstract (Arabic): المقال يركز على تحسين مصفوفات الهوائيات المستوية من أجل تعزيز تقدير اتجاه الوصول (DOA) في أنظمة الرادار باستخدام الخوارزميات الجينية (GA). يبرز أهمية تقدير DOA بدقة للتطبيقات في الاتصالات عبر الأقمار الصناعية، والرادار، والميادين العسكرية، ويناقش مزايا المصفوفات المستوية مقارنةً بالمستشعرات الفردية في استقبال الإشارات. المنهجية المقترحة تجمع بين GA وخوارزمية ESPRIT لتحقيق تقليل كبير في التعقيد الحسابي مع الحفاظ على دقة عالية، حيث تم تحقيق خطأ الجذر التربيعي المتوسط (RMSE) يصل إلى 0.2 درجة في ظل ظروف معينة. تشير النتائج إلى أن هذا النهج مناسب بشكل خاص لأنظمة الرادار ذات الطاقة المنخفضة والموارد المحدودة، مع توجيه العمل المستقبلي نحو تنفيذ التحسين على مسرعات الأجهزة للتطبيقات في الوقت الحقيقي. [Extracted from the article]
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Beschreibung
Abstract:This paper proposes the optimization of planar antenna arrays for DOA estimation enhancement in radar systems, where accuracy and computational efficiency need to be well balanced. This work describes a new methodology using GAs to obtain an optimal configuration of the antenna elements, allowing a considerable reduction in computational complexity. Using the ESPRIT algorithm for azimuth and elevation angle estimation, the proposed approach achieves an RMSE as low as 0.2 degrees under an SNR of 20dB. For practical setups, an antenna size configuration of M = 8, N = 3 with 85 snapshots can achieve an optimal tradeoff, reducing the computational cost by 35% compared to conventional methods while maintaining high accuracy. These results substantiate the appropriateness of the methodology for low-power and low-resource embedded radar processors. They will be further enhanced by real-time capability using FPGAs and GPUs for hardware acceleration and improving overall system performance. [ABSTRACT FROM AUTHOR]
ISSN:25200917
DOI:10.31272/jeasd.3008