It is observed that the results are better in mobile antenna case with respect to the stationary antenna case for the bistatic radars.
📌 3 Key Takeaways
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Objective & Hypothesis:In this work, the problem of determining the target locations with minimum error is studied by means of the genetic optimization method for synthetic aperture radars.
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Key Findings & Data:To increase the amount of data, a second receiver positioned at a different location is used and bistatic synthetic aperture is formed.
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Conclusion & Impact:It is observed that the results are better in mobile antenna case with respect to the stationary antenna case for the bistatic radars.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this work, the problem of determining the target locations with minimum error is studied by means of the genetic optimization method for synthetic aperture radars. The measurements at each antenna location along the synthetic aperture are being used in the genetic algorithm for error minimization. To increase the amount of data, a second receiver positioned at a different location is used and bistatic synthetic aperture is formed. The additional phase information increases the error minimization rate in the optimization algorithm. It is observed that the results are better in mobile antenna case with respect to the stationary antenna case for the bistatic radars.
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Cite This Article
KENT, S., KARGIN, S., KARTAL, M. (2022). Determination of target location for bistatic synthetic aperture radar by genetic algortihm. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 3 - Sayı: 1, 713–717. https://ajindex.com/articles/651713