| Autor: |
Duvvuri, Seshagiri, Arumuganainar, Dyana, Ray, Kamla Prasan, Alagarswami, Vengadarajan |
| Předmět: |
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| Zdroj: |
Journal of Electromagnetic Waves & Applications; Feb2023, Vol. 37 Issue 3, p428-440, 13p |
| Abstrakt: |
This paper presents a novel approach for clutter removal in airborne radars using a genetic algorithm and mathematical morphology. The clutter returns are detected when constant alarm rate processing is applied on range-Doppler images. In the proposed method, mathematical morphological operations are performed on range-Doppler images to obtain clutter images. The clutter image is then applied as a mask to remove false detections due to clutter. Also, the targets embedded in clutter are detected using gray-scale morphological operations. The morphological filter and the sequence of operations are designed by a genetic algorithm. The advantage of the proposed method is that it does not require the computation of statistical measures from clutter data and filters are optimally designed using a genetic algorithm. The proposed method has shown an increase in clutter leak reduction when compared to that of a deep morphological network. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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