Multi-Target Detection Capability of Linear Fusion Approach Under Different Swerling Models of Target Fluctuation
Multi-Target Detection Capability of Linear Fusion Approach Under Different Swerling Models of Target Fluctuation
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Keywords

adaptive detection
non-coherent integration
fluctuating targets
swerling models
target multiplicity environments

How to Cite

Mohamed Bakry El_Mashade. (2022). Multi-Target Detection Capability of Linear Fusion Approach Under Different Swerling Models of Target Fluctuation. Global Journal of Computer Science and Technology, 21(H3), 19–42. Retrieved from https://gjcst.com/index.php/gjcst/article/view/2072

Abstract

In evolving radar systems detection is regarded as a fundamental stage in their receiving end Consequently detection performance enhancement of a CFAR variant represents the basic requirement of these systems since the CFAR strategy plays a key role in automatic detection process Most existing CFAR variants need to estimate the background level before constructing the detection threshold In a multi-target state the existence of spurious targets could cause inaccurate estimation of background level The occurrence of this effect will result in severely degrading the performance of the CFAR algorithm Lots of research in the CFAR design have been achieved However the gap in the previous works is that there is no CFAR technique that can operate in all or most environmental varieties To overcome this challenge the linear fusion LF architecture which can operate with the most environmental and target situations has been presented
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