Adaptive Constant False Alarm Detector Based on Composite Fuzzy Fusion Rules
In order to improve the detection performance of the radar constant false alarm detector in a multiple-target environment, a Kaigh–Lachenbruch Quantile constant false alarm rate detector based on composite fuzzy fusion rules (CFKLQ-CFAR) is designed by combining fuzzy fusion rules and the Kaigh–Lach...
Saved in:
Main Authors: | Yuyao Yang, Chunbo Xiu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/15/2/942 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Design and simulation of an intelligent irrigation system using fuzzy logic
by: Peter Kibazo, et al.
Published: (2025-01-01) -
Business rules systems modelling with UML and rules enforcing in active relational databases
by: Olegas Vasilecas, et al.
Published: (2004-12-01) -
AFN-Net: Adaptive Fusion Nucleus Segmentation Network Based on Multi-Level U-Net
by: Ming Zhao, et al.
Published: (2025-01-01) -
A Novel Rapeseed Mapping Framework Integrating Image Fusion, Automated Sample Generation, and Deep Learning in Southwest China
by: Ruolan Jiang, et al.
Published: (2025-01-01) -
Modeling and Numerical Prediction on Mechanical Behaviors of Hybrid Fiber Reinforced Polymer Bio Composites Using Fuzzy Logic Algorithm
by: Vinoth Viswanathan, et al.
Published: (2025-04-01)