Fuzzy Hypothesis Testing for Radar Detection: A Statistical Approach for Reducing False Alarm and Miss Probabilities
This paper addresses a fundamental challenge in statistical radar detection systems: optimizing the trade-off between the probability of a false alarm (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><m...
Saved in:
| Main Authors: | Ahmed K. Elsherif, Hanan Haj Ahmad, Mohamed Aboshady, Basma Mostafa |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/14/2299 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
OCDMA-Based LiDAR Systems: Reducing False Alarm Probabilities in Autonomous Driving
by: Tianliang Zeng, et al.
Published: (2025-01-01) -
Radar False Alarm Suppression Based on Target Spatial Temporal Stationarity for UAV Detecting
by: Chunlin Sun, et al.
Published: (2024-11-01) -
Research on False Alarm Rate Reducing Strategies for Subway Train Fire Alarm System
by: ZHANG Qian, et al.
Published: (2025-05-01) -
Errors Impacts of Multi-5G Waveforms in Cognitive Radio Systems
by: Mokhalad Alghrairi, et al.
Published: (2025-03-01) -
Something’s different: elaboration’s transferrable role for false alarm reduction
by: Lauren A. Mason, et al.
Published: (2025-03-01)