Improved Decentralized SO-CFAR and GO-CFAR Detectors via Moth Flame Algorithm-Reference-Cited by-同舟云学术

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Improved Decentralized SO-CFAR and GO-CFAR Detectors via Moth Flame Algorithm

Published:2022-11-26 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)
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Author:

Kerbaa Taha Hocine¹,Mezache Amar²,Oudira Houcine³

Affiliation:

1. Université de Mohamed Boudiaf-M’Sila, Laboratoire,LASS,Département d’Electronique,M’Sila,Algérie,28000

2. Université de Mohamed Boudiaf- M’Sila,Laboratoire SISCOM,Département d’Electronique

3. Université de Mohamed Boudiaf-M’Sila Laboratoire LGE,Département d’Electronique,M’Sila,Algérie,28000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10093233/10093088/10093725.pdf?arnumber=10093725

Reference9 articles.

1. Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm

2. Improved Hybrid Parameters Extraction of a PV Module Using a Moth Flame Algorithm

3. Combined phase balancing and reconfiguration for unbalanced distribution system optimization through hybrid fuzzy-MFOA;ganesan;Journal of Ambient Intelligence and Humanized Computing,2021

4. Threshold optimization of decentralized CFAR detection in weibull clutter using genetic algorithms

5. Threshold optimization for distributed order-statistic CFAR signal detection

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